-------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/AliceZhang/Dropbox/Research_Columbia/Renewables Voting (Urp
> elainen Zhang)/JOP/UZ_JOP2021_Replication/Analysis/logSTATA/014_analysis_RPS.
> smcl
  log type:  smcl
 opened on:   6 Nov 2021, 20:34:36

. 
. *****************************************************************************
> **
. /*                                        URPELAINEN & ZHANG 2021            
>                                     */
. *****************************************************************************
> **
. 
. /* 
> 
> File Name:      012_analysis_Texas.do
> 
> By:                             Alice Tianbo Zhang (alice.tianbo.zhang@gmail.
> com)
> 
> Last Edited:    10/20/2021
> 
> Purpose:                
> 
> Data Used:      election_district_panel_RPS_recodeVar.dta
>                                 votes_wind_panel_RPS_recodeVar.dta
>                         
> 
> Program Used:  
> 
> */
. 
. *****************************************************************************
> **
. /*                                                TABLE A23                  
>                                             */
. *****************************************************************************
> **
. cd "$rootDir/$dataDir/Final"
/Users/AliceZhang/Dropbox/Research_Columbia/Renewables Voting (Urpelainen Zhang
> )/JOP/UZ_JOP2021_Replication/Data/Final

. use election_district_panel_RPS_recodeVar.dta, clear

. capture drop postRPS_year

. capture drop postRPS_dum

. 
. * Create event indicators 
. gen postRPS_year = year - start_year_verified
(1,029 missing values generated)

. gen postRPS_dum = postRPS_year > 0 & postRPS_year != .

. gen RPS_event = postRPS_dum * postRPS_year
(1,029 missing values generated)

. 
. * State-specific time trend
. capture drop s1-s41

. capture drop year1-year41

. tab state, gen(s)

               State |      Freq.     Percent        Cum.
---------------------+-----------------------------------
              Alaska |         16        0.28        0.28
             Arizona |        102        1.78        2.06
          California |        799       13.96       16.02
            Colorado |        101        1.76       17.78
            Delaware |         16        0.28       18.06
             Florida |        359        6.27       24.33
              Hawaii |         31        0.54       24.87
               Idaho |         32        0.56       25.43
            Illinois |        299        5.22       30.66
             Indiana |        143        2.50       33.15
                Iowa |         79        1.38       34.53
              Kansas |         64        1.12       35.65
               Maine |         32        0.56       36.21
            Maryland |        128        2.24       38.45
       Massachusetts |        157        2.74       41.19
            Michigan |        239        4.17       45.36
           Minnesota |        128        2.24       47.60
            Missouri |        143        2.50       50.10
             Montana |         11        0.19       50.29
            Nebraska |         48        0.84       51.13
              Nevada |         38        0.66       51.79
       New Hampshire |         32        0.56       52.35
          New Jersey |        207        3.62       55.97
          New Mexico |         47        0.82       56.79
            New York |        459        8.02       64.80
      North Carolina |        193        3.37       68.17
        North Dakota |         16        0.28       68.45
                Ohio |        285        4.98       73.43
            Oklahoma |         80        1.40       74.83
              Oregon |         80        1.40       76.23
        Pennsylvania |        303        5.29       81.52
        Rhode Island |         32        0.56       82.08
        South Dakota |         16        0.28       82.36
           Tennessee |        144        2.52       84.87
               Texas |        473        8.26       93.14
                Utah |         48        0.84       93.97
             Vermont |         16        0.28       94.25
          Washington |        139        2.43       96.68
       West Virginia |         48        0.84       97.52
           Wisconsin |        127        2.22       99.74
             Wyoming |         15        0.26      100.00
---------------------+-----------------------------------
               Total |      5,725      100.00

. local trend

. forvalues i=1/41 {
  2.         gen year`i' = s`i' * postRPS_year
  3.         local trend `trend' year`i'
  4. }
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)
(1,029 missing values generated)

. di "`trend'"
year1 year2 year3 year4 year5 year6 year7 year8 year9 year10 year11 year12 year
> 13 year14 year15 year16 year17 year18 year19 year20 year21 year22 year23 year
> 24 year25 year26 year27 year28 year29 year30 year31 year32 year33 year34 year
> 35 year36 year37 year38 year39 year40 year41

. 
. gen cum_lncapacity_turbine = log(cum_capacity_turbine + 1)

. gen cum_lncount_turbine = log(cum_count_turbine +1 )

. gen turnout = votes1 + votes2 + votes3 + votes4

. gen lnturnout = log(turnout)
(73 missing values generated)

. 
. *---------------------------- Linear Trend Break ----------------------------
> -*
. local wind_outcome cum_capacity_turbine cum_count_turbine cum_lncapacity_turb
> ine cum_lncount_turbine

. local election_outcome demvotesmajorpercent repvotesmajorpercent incumbvotesm
> ajorpercent turnout lnturnout

. 
. foreach y_var in `wind_outcome'{
  2. 
.         tokenize "`y_var'", parse("_")
  3.         local y_name "`3'"
  4.         di "`y_name'"
  5.         areg `y_var' RPS_event `trend', absorb(state) robust cluster(state
> )
  6.         estimates store `y_name'_trendBreak
  7.         
. }
capacity
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0893
                                                Adj R-squared     =     0.0783
                                                Root MSE          =   203.3915

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_capaci~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |   13.58029   4.494748     3.02   0.005     4.357831    22.80275
       year1 |          0  (omitted)
       year2 |  -1.285788   .6045315    -2.13   0.043    -2.526184   -.0453914
       year3 |  -2.354147   1.265179    -1.86   0.074     -4.95008    .2417859
       year4 |   4.730131   .9021978     5.24   0.000     2.878974    6.581288
       year5 |  -2.075751   .7006519    -2.96   0.006     -3.51337   -.6381325
       year6 |          0  (omitted)
       year7 |  -2.393602   1.445509    -1.66   0.109    -5.359543    .5723375
       year8 |          0  (omitted)
       year9 |   2.521149   .3999822     6.30   0.000     1.700454    3.341845
      year10 |          0  (omitted)
      year11 |    7.91564   4.444104     1.78   0.086    -1.202909    17.03419
      year12 |          0  (omitted)
      year13 |  -1.546876   1.827644    -0.85   0.405    -5.296892    2.203139
      year14 |  -2.278218   .8592901    -2.65   0.013    -4.041335   -.5151001
      year15 |  -6.632371   2.230992    -2.97   0.006    -11.20999   -2.054754
      year16 |   .1033538   .2752446     0.38   0.710    -.4614014    .6681091
      year17 |   8.496166   .4131202    20.57   0.000     7.648513    9.343818
      year18 |    .413802   .2691009     1.54   0.136    -.1383474    .9659515
      year19 |   24.11164   1.348424    17.88   0.000      21.3449    26.87838
      year20 |          0  (omitted)
      year21 |  -6.524154   2.364032    -2.76   0.010    -11.37475   -1.673561
      year22 |  -.0923798   .4131202    -0.22   0.825    -.9400325    .7552729
      year23 |  -5.456224   1.812746    -3.01   0.006    -9.175671   -1.736777
      year24 |   5.486296   .8580985     6.39   0.000     3.725624    7.246969
      year25 |   -1.37947   .8441241    -1.63   0.114     -3.11147    .3525296
      year26 |  -1.297489   .4294919    -3.02   0.005    -2.178733   -.4162442
      year27 |          0  (omitted)
      year28 |   -.529737   .2690489    -1.97   0.059     -1.08178    .0223057
      year29 |          0  (omitted)
      year30 |   11.96858   .4131202    28.97   0.000     11.12093    12.81623
      year31 |  -1.114783   .8490373    -1.31   0.200    -2.856864    .6272972
      year32 |  -2.533997   .8592901    -2.95   0.007    -4.297115   -.7708795
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   4.726978   1.884976     2.51   0.018     .8593268    8.594629
      year36 |          0  (omitted)
      year37 |   1.541618   3.10e-11  5.0e+10   0.000     1.541618    1.541618
      year38 |   6.233428   .5566438    11.20   0.000      5.09129    7.375567
      year39 |          0  (omitted)
      year40 |  -3.553976   1.825496    -1.95   0.062    -7.299584    .1916319
      year41 |          0  (omitted)
       _cons |    2.84989   11.25049     0.25   0.802     -20.2342    25.93398
------------------------------------------------------------------------------
count
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0596
                                                Adj R-squared     =     0.0482
                                                Root MSE          =   367.7876

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_count_~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |   7.435537   3.078065     2.42   0.023     1.119869    13.75121
       year1 |          0  (omitted)
       year2 |   -.718382   .4139915    -1.74   0.094    -1.567822    .1310584
       year3 |  -.5865023    .866412    -0.68   0.504    -2.364233    1.191228
       year4 |   3.782395   .6178374     6.12   0.000     2.514698    5.050093
       year5 |  -1.138481   .4798161    -2.37   0.025    -2.122982   -.1539796
       year6 |          0  (omitted)
       year7 |  -.6768023   .9899046    -0.68   0.500    -2.707919    1.354314
       year8 |          0  (omitted)
       year9 |   1.687399   .2739133     6.16   0.000     1.125376    2.249423
      year10 |          0  (omitted)
      year11 |   8.189405   3.043384     2.69   0.012     1.944897    14.43391
      year12 |          0  (omitted)
      year13 |  -.9241559   1.251596    -0.74   0.467    -3.492218    1.643906
      year14 |  -1.294294   .5884537    -2.20   0.037    -2.501701   -.0868867
      year15 |  -3.595042   1.527814    -2.35   0.026    -6.729856   -.4602269
      year16 |   .1004657   .1884913     0.53   0.598    -.2862865    .4872178
      year17 |    6.94848   .2829104    24.56   0.000     6.367996    7.528964
      year18 |   .2196029    .184284     1.19   0.244    -.1585167    .5977224
      year19 |   18.01025   .9234196    19.50   0.000     16.11555    19.90495
      year20 |          0  (omitted)
      year21 |  -3.637873   1.618922    -2.25   0.033    -6.959626   -.3161201
      year22 |  -.1867222   .2829104    -0.66   0.515    -.7672064    .3937621
      year23 |  -2.984942   1.241393    -2.40   0.023     -5.53207   -.4378131
      year24 |   4.917373   .5876377     8.37   0.000      3.71164    6.123105
      year25 |  -.6771816   .5780678    -1.17   0.252    -1.863279    .5089156
      year26 |  -.7088494   .2941219    -2.41   0.023    -1.312338   -.1053611
      year27 |          0  (omitted)
      year28 |  -.2842626   .1842484    -1.54   0.135     -.662309    .0937838
      year29 |          0  (omitted)
      year30 |   8.356587   .2829104    29.54   0.000     7.776102    8.937071
      year31 |  -.5991219   .5814324    -1.03   0.312    -1.792123    .5938789
      year32 |  -1.350912   .5884537    -2.30   0.030    -2.558319   -.1435043
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   3.892852   1.290857     3.02   0.006     1.244232    6.541473
      year36 |          0  (omitted)
      year37 |   1.099265   1.61e-10  6.8e+09   0.000     1.099265    1.099265
      year38 |   4.168175   .3811973    10.93   0.000     3.386023    4.950328
      year39 |          0  (omitted)
      year40 |  -1.672051   1.250125    -1.34   0.192    -4.237094    .8929933
      year41 |          0  (omitted)
       _cons |   44.47634   7.704487     5.77   0.000     28.66804    60.28464
------------------------------------------------------------------------------
lncapacity
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1955
                                                Adj R-squared     =     0.1857
                                                Root MSE          =     1.1665

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_lncapa~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |   .1000082   .0229022     4.37   0.000     .0530168    .1469997
       year1 |          0  (omitted)
       year2 |   .0062556   .0030803     2.03   0.052    -.0000647    .0125758
       year3 |  -.0104418   .0064465    -1.62   0.117     -.023669    .0027853
       year4 |   .0448496    .004597     9.76   0.000     .0354173    .0542818
       year5 |    .007029   .0035701     1.97   0.059    -.0002962    .0143541
       year6 |          0  (omitted)
       year7 |   .0390444   .0073653     5.30   0.000      .023932    .0541569
       year8 |          0  (omitted)
       year9 |   .0442751    .002038    21.72   0.000     .0400934    .0484568
      year10 |          0  (omitted)
      year11 |   .0483375   .0226442     2.13   0.042     .0018755    .0947995
      year12 |          0  (omitted)
      year13 |    .064973   .0093124     6.98   0.000     .0458655    .0840806
      year14 |  -.0069373   .0043784    -1.58   0.125    -.0159209    .0020464
      year15 |  -.0259329   .0113676    -2.28   0.031    -.0492573   -.0026084
      year16 |   .0251434   .0014025    17.93   0.000     .0222658     .028021
      year17 |   .0872902    .002105    41.47   0.000     .0829711    .0916092
      year18 |   .0131186   .0013712     9.57   0.000     .0103052     .015932
      year19 |   .3535456   .0068707    51.46   0.000     .3394482    .3676431
      year20 |          0  (omitted)
      year21 |  -.0321156   .0120455    -2.67   0.013     -.056831   -.0074003
      year22 |   .0476191    .002105    22.62   0.000        .0433    .0519382
      year23 |  -.0344127   .0092365    -3.73   0.001    -.0533645   -.0154609
      year24 |   .1643821   .0043723    37.60   0.000     .1554109    .1733533
      year25 |   .0017353   .0043011     0.40   0.690    -.0070898    .0105604
      year26 |  -.0093992   .0021884    -4.30   0.000    -.0138895    -.004909
      year27 |          0  (omitted)
      year28 |    .005392   .0013709     3.93   0.001     .0025791    .0082048
      year29 |          0  (omitted)
      year30 |   .0544794    .002105    25.88   0.000     .0501603    .0587985
      year31 |   .0299844   .0043261     6.93   0.000     .0211079    .0388609
      year32 |   .0082094   .0043784     1.87   0.072    -.0007743     .017193
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   .0102473   .0096046     1.07   0.295    -.0094597    .0299542
      year36 |          0  (omitted)
      year37 |    .123994          .        .       .            .           .
      year38 |    .056806   .0028363    20.03   0.000     .0509864    .0626256
      year39 |          0  (omitted)
      year40 |   .0306303   .0093015     3.29   0.003     .0115452    .0497154
      year41 |          0  (omitted)
       _cons |   .3054365   .0573249     5.33   0.000     .1878155    .4230575
------------------------------------------------------------------------------
lncount
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1584
                                                Adj R-squared     =     0.1482
                                                Root MSE          =     1.3575

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_lncoun~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |    .089068   .0200943     4.43   0.000     .0478379    .1302981
       year1 |          0  (omitted)
       year2 |   .0048615   .0027026     1.80   0.083    -.0006839    .0104068
       year3 |  -.0195384   .0056561    -3.45   0.002    -.0311438   -.0079329
       year4 |   .0446988   .0040334    11.08   0.000      .036423    .0529746
       year5 |   .0003865   .0031323     0.12   0.903    -.0060405    .0068136
       year6 |          0  (omitted)
       year7 |   .0375598   .0064623     5.81   0.000     .0243002    .0508194
       year8 |          0  (omitted)
       year9 |   .0432862   .0017882    24.21   0.000     .0396172    .0469553
      year10 |          0  (omitted)
      year11 |   .0514034   .0198679     2.59   0.015     .0106378    .0921689
      year12 |          0  (omitted)
      year13 |   .0563676   .0081707     6.90   0.000     .0396027    .0731325
      year14 |  -.0071668   .0038416    -1.87   0.073     -.015049    .0007154
      year15 |  -.0159483   .0099739    -1.60   0.121    -.0364131    .0045164
      year16 |   .0231164   .0012305    18.79   0.000     .0205916    .0256413
      year17 |   .0866422   .0018469    46.91   0.000     .0828526    .0904317
      year18 |   .0117116    .001203     9.73   0.000     .0092431      .01418
      year19 |   .3442013   .0060283    57.10   0.000     .3318323    .3565704
      year20 |          0  (omitted)
      year21 |  -.0296604   .0105687    -2.81   0.009    -.0513455   -.0079752
      year22 |   .0383071   .0018469    20.74   0.000     .0345176    .0420967
      year23 |  -.0309641   .0081041    -3.82   0.001    -.0475924   -.0143359
      year24 |   .1554308   .0038362    40.52   0.000     .1475596    .1633021
      year25 |   .0026122   .0037738     0.69   0.495    -.0051309    .0103553
      year26 |  -.0073692   .0019201    -3.84   0.001    -.0113089   -.0034295
      year27 |          0  (omitted)
      year28 |    .008326   .0012028     6.92   0.000     .0058581     .010794
      year29 |          0  (omitted)
      year30 |   .0551236   .0018469    29.85   0.000      .051334    .0589131
      year31 |   .0258226   .0037957     6.80   0.000     .0180344    .0336107
      year32 |     .01536   .0038416     4.00   0.000     .0074778    .0232423
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   .0118194    .008427     1.40   0.172    -.0054714    .0291102
      year36 |          0  (omitted)
      year37 |   .1397622          .        .       .            .           .
      year38 |   .0548083   .0024885    22.02   0.000     .0497023    .0599144
      year39 |          0  (omitted)
      year40 |   .0338981   .0081611     4.15   0.000     .0171529    .0506433
      year41 |          0  (omitted)
       _cons |   .3758942   .0502966     7.47   0.000     .2726941    .4790944
------------------------------------------------------------------------------

. foreach y_var in `election_outcome'{
  2.         
.         local y_name = substr("`y_var'", 1, 3)
  3.         areg `y_var' RPS_event `trend', absorb(state) robust cluster(state
> )
  4.         estimates store `y_name'_trendBreak
  5.         
. }
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1074
                                                Adj R-squared     =     0.0966
                                                Root MSE          =    22.1147

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
demvotesma~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |    .205313   .1148247     1.79   0.085    -.0302878    .4409137
       year1 |          0  (omitted)
       year2 |   .3751655   .0154436    24.29   0.000     .3434778    .4068532
       year3 |   .1613021   .0323208     4.99   0.000     .0949853    .2276188
       year4 |   .2277921   .0230479     9.88   0.000     .1805017    .2750825
       year5 |  -.5392472   .0178991   -30.13   0.000    -.5759732   -.5025212
       year6 |          0  (omitted)
       year7 |  -.5097376   .0369276   -13.80   0.000    -.5855067   -.4339685
       year8 |          0  (omitted)
       year9 |    .165845   .0102181    16.23   0.000     .1448792    .1868108
      year10 |          0  (omitted)
      year11 |  -.2258472   .1135309    -1.99   0.057    -.4587934    .0070989
      year12 |          0  (omitted)
      year13 |    .780858   .0466897    16.72   0.000     .6850586    .8766575
      year14 |  -.0075681   .0219518    -0.34   0.733    -.0526094    .0374732
      year15 |     .23546   .0569938     4.13   0.000     .1185184    .3524017
      year16 |  -.2445861   .0070315   -34.78   0.000    -.2590135   -.2301586
      year17 |  -.0844396   .0105537    -8.00   0.000    -.1060941   -.0627851
      year18 |  -.5138027   .0068746   -74.74   0.000    -.5279081   -.4996972
      year19 |  -.8186849   .0344474   -23.77   0.000    -.8893651   -.7480047
      year20 |          0  (omitted)
      year21 |   .0042446   .0603925     0.07   0.944    -.1196707    .1281598
      year22 |   .3752249   .0105537    35.55   0.000     .3535704    .3968794
      year23 |   .1105223   .0463091     2.39   0.024     .0155038    .2055408
      year24 |   .4559135   .0219213    20.80   0.000     .4109346    .5008923
      year25 |   .2766764   .0215643    12.83   0.000     .2324301    .3209228
      year26 |  -.2202656    .010972   -20.08   0.000    -.2427782    -.197753
      year27 |          0  (omitted)
      year28 |   .0254472   .0068732     3.70   0.001     .0113445    .0395499
      year29 |          0  (omitted)
      year30 |  -.0064427   .0105537    -0.61   0.547    -.0280972    .0152118
      year31 |  -.0039425   .0216899    -0.18   0.857    -.0484463    .0405614
      year32 |   .8876497   .0219518    40.44   0.000     .8426084    .9326911
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |  -.9971946   .0481544   -20.71   0.000    -1.095999     -.89839
      year36 |          0  (omitted)
      year37 |   1.917007          .        .       .            .           .
      year38 |  -.0042205   .0142202    -0.30   0.769     -.033398    .0249571
      year39 |          0  (omitted)
      year40 |  -.3701133   .0466349    -7.94   0.000    -.4658001   -.2744265
      year41 |          0  (omitted)
       _cons |   54.67914   .2874094   190.25   0.000     54.08942    55.26885
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1093
                                                Adj R-squared     =     0.0985
                                                Root MSE          =    22.1281

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
repvotesma~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |  -.3349342   .1175256    -2.85   0.008    -.5760769   -.0937915
       year1 |          0  (omitted)
       year2 |  -.3577318   .0158069   -22.63   0.000    -.3901648   -.3252988
       year3 |  -.2205635    .033081    -6.67   0.000    -.2884402   -.1526868
       year4 |  -.2017742   .0235901    -8.55   0.000     -.250177   -.1533714
       year5 |    .559453   .0183202    30.54   0.000     .5218631    .5970428
       year6 |          0  (omitted)
       year7 |   .5514237   .0377962    14.59   0.000     .4738723    .6289751
       year8 |          0  (omitted)
       year9 |  -.1543102   .0104585   -14.75   0.000    -.1757692   -.1328512
      year10 |          0  (omitted)
      year11 |    .354008   .1162014     3.05   0.005     .1155823    .5924336
      year12 |          0  (omitted)
      year13 |  -.7281518    .047788   -15.24   0.000    -.8262046   -.6300989
      year14 |   .0323486   .0224681     1.44   0.161    -.0137522    .0784494
      year15 |  -.1711219   .0583345    -2.93   0.007    -.2908143   -.0514294
      year16 |   .2525237   .0071969    35.09   0.000     .2377568    .2672905
      year17 |   .0963533    .010802     8.92   0.000     .0741895    .1185172
      year18 |   .5215631   .0070363    74.12   0.000     .5071259    .5360003
      year19 |   .8575712   .0352577    24.32   0.000     .7852283     .929914
      year20 |          0  (omitted)
      year21 |   .0639303   .0618131     1.03   0.310    -.0628998    .1907603
      year22 |  -.3633112    .010802   -33.63   0.000     -.385475   -.3411473
      year23 |  -.0582457   .0473985    -1.23   0.230    -.1554993    .0390079
      year24 |  -.4311674    .022437   -19.22   0.000    -.4772042   -.3851305
      year25 |  -.2523333   .0220716   -11.43   0.000    -.2976204   -.2070461
      year26 |   .2326515   .0112301    20.72   0.000     .2096093    .2556936
      year27 |          0  (omitted)
      year28 |  -.0176883   .0070349    -2.51   0.018    -.0321227   -.0032538
      year29 |          0  (omitted)
      year30 |   .0183564    .010802     1.70   0.101    -.0038074    .0405203
      year31 |   .0284273   .0222001     1.28   0.211    -.0171234    .0739781
      year32 |  -.8628692   .0224681   -38.40   0.000      -.90897   -.8167684
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   1.051554   .0492871    21.34   0.000     .9504255    1.152683
      year36 |          0  (omitted)
      year37 |  -1.917007   6.87e-11 -2.8e+10   0.000    -1.917007   -1.917007
      year38 |   .0202732   .0145547     1.39   0.175    -.0095907     .050137
      year39 |          0  (omitted)
      year40 |   .4227576   .0477318     8.86   0.000       .32482    .5206952
      year41 |          0  (omitted)
       _cons |   45.47951   .2941701   154.60   0.000     44.87592     46.0831
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,150
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0999
                                                Adj R-squared     =     0.0876
                                                Root MSE          =    13.5305

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
incumbvote~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |  -.4410169   .2277877    -1.94   0.063    -.9083987    .0263648
       year1 |          0  (omitted)
       year2 |  -.3244175   .0302239   -10.73   0.000    -.3864319   -.2624031
       year3 |   .2357508   .0514009     4.59   0.000     .1302848    .3412168
       year4 |   .0142861    .048735     0.29   0.772    -.0857099    .1142821
       year5 |   .3112205   .0300635    10.35   0.000     .2495353    .3729056
       year6 |          0  (omitted)
       year7 |  -.6966826   .0696812   -10.00   0.000    -.8396566   -.5537086
       year8 |          0  (omitted)
       year9 |  -.0045932   .0201972    -0.23   0.822    -.0460344     .036848
      year10 |          0  (omitted)
      year11 |    .106045   .2249804     0.47   0.641    -.3555767    .5676667
      year12 |          0  (omitted)
      year13 |  -.0055621   .0971768    -0.06   0.955    -.2049524    .1938282
      year14 |   .1064514    .045163     2.36   0.026     .0137845    .1991183
      year15 |   .3124209   .1118681     2.79   0.009     .0828864    .5419553
      year16 |  -.0671205   .0128642    -5.22   0.000    -.0935157   -.0407253
      year17 |  -.0810304   .0215872    -3.75   0.001    -.1253238   -.0367371
      year18 |   .2893885   .0133043    21.75   0.000     .2620904    .3166866
      year19 |   .8985653    .048866    18.39   0.000     .7983006      .99883
      year20 |          0  (omitted)
      year21 |   .1451907   .1298662     1.12   0.273    -.1212726    .4116541
      year22 |  -.4965337   .0209354   -23.72   0.000    -.5394895   -.4535778
      year23 |   .1739587   .0910592     1.91   0.067    -.0128793    .3607968
      year24 |  -.3742735   .0404939    -9.24   0.000    -.4573602   -.2911868
      year25 |  -.0107367   .0431532    -0.25   0.805    -.0992797    .0778062
      year26 |   .1675614   .0204681     8.19   0.000     .1255643    .2095585
      year27 |          0  (omitted)
      year28 |  -.2199974   .0136577   -16.11   0.000    -.2480207   -.1919742
      year29 |          0  (omitted)
      year30 |   .1881045    .021739     8.65   0.000     .1434998    .2327092
      year31 |  -.0591021   .0426707    -1.39   0.177    -.1466552    .0284509
      year32 |    .302246   .0414305     7.30   0.000     .2172375    .3872544
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |  -.0496375   .0976778    -0.51   0.615    -.2500558    .1507808
      year36 |          0  (omitted)
      year37 |   .1784823          .        .       .            .           .
      year38 |  -.0299355   .0279245    -1.07   0.293    -.0872319    .0273609
      year39 |          0  (omitted)
      year40 |   .0620372   .0903174     0.69   0.498    -.1232788    .2473533
      year41 |          0  (omitted)
       _cons |   70.60837   .5460173   129.32   0.000     69.48803     71.7287
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3846
                                                Adj R-squared     =     0.3772
                                                Root MSE          = 53537.6231

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
     turnout |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |   4359.558   560.2361     7.78   0.000     3210.049    5509.068
       year1 |          0  (omitted)
       year2 |   1223.822   75.35025    16.24   0.000     1069.216    1378.428
       year3 |   -308.604   157.6949    -1.96   0.061    -632.1673    14.95929
       year4 |    3570.54   112.4521    31.75   0.000     3339.807    3801.272
       year5 |   4996.839   87.33093    57.22   0.000     4817.651    5176.028
       year6 |          0  (omitted)
       year7 |   245.5609   180.1717     1.36   0.184    -124.1209    615.2428
       year8 |          0  (omitted)
       year9 |   2384.147   49.85473    47.82   0.000     2281.854    2486.441
      year10 |          0  (omitted)
      year11 |  -33.50173   553.9238    -0.06   0.952    -1170.059    1103.056
      year12 |          0  (omitted)
      year13 |   1030.158   227.8019     4.52   0.000     562.7468    1497.569
      year14 |   4088.933    107.104    38.18   0.000     3869.174    4308.693
      year15 |   343.9606   278.0761     1.24   0.227    -226.6045    914.5256
      year16 |   4604.753   34.30714   134.22   0.000     4534.361    4675.146
      year17 |   3533.658   51.49229    68.62   0.000     3428.005    3639.311
      year18 |   3276.896   33.54138    97.70   0.000     3208.075    3345.718
      year19 |   2442.823   168.0708    14.53   0.000     2097.971    2787.676
      year20 |          0  (omitted)
      year21 |   1888.208   294.6586     6.41   0.000     1283.619    2492.798
      year22 |   4928.792   51.49229    95.72   0.000     4823.139    5034.446
      year23 |   415.1515    225.945     1.84   0.077    -48.44931    878.7523
      year24 |   2843.742   106.9554    26.59   0.000     2624.287    3063.196
      year25 |   1253.635   105.2136    11.92   0.000     1037.754    1469.516
      year26 |   3840.525   53.53289    71.74   0.000     3730.684    3950.365
      year27 |          0  (omitted)
      year28 |   3450.232   33.53489   102.88   0.000     3381.424     3519.04
      year29 |          0  (omitted)
      year30 |   3758.425   51.49229    72.99   0.000     3652.771    3864.078
      year31 |   2595.636    105.826    24.53   0.000     2378.499    2812.773
      year32 |  -58.65228    107.104    -0.55   0.588    -278.4115    161.1069
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   353.9289   234.9479     1.51   0.144    -128.1444    836.0021
      year36 |          0  (omitted)
      year37 |   2940.901          .        .       .            .           .
      year38 |   3537.745   69.38141    50.99   0.000     3395.386    3680.104
      year39 |          0  (omitted)
      year40 |   3611.373   227.5342    15.87   0.000     3144.511    4078.234
      year41 |          0  (omitted)
       _cons |   208726.4   1402.287   148.85   0.000     205849.2    211603.7
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3336
                                                Adj R-squared     =     0.3256
                                                Root MSE          =     0.3051

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
   lnturnout |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |   .0221715   .0037412     5.93   0.000     .0144951    .0298479
       year1 |          0  (omitted)
       year2 |   .0049425   .0005032     9.82   0.000     .0039101     .005975
       year3 |  -.0022086   .0010531    -2.10   0.045    -.0043693   -.0000478
       year4 |   .0139604    .000751    18.59   0.000     .0124195    .0155012
       year5 |   .0179102   .0005832    30.71   0.000     .0167136    .0191068
       year6 |          0  (omitted)
       year7 |   .0022259   .0012032     1.85   0.075    -.0002429    .0046946
       year8 |          0  (omitted)
       year9 |   .0113942   .0003329    34.22   0.000      .010711    .0120773
      year10 |          0  (omitted)
      year11 |  -.0031104   .0036991    -0.84   0.408    -.0107003    .0044795
      year12 |          0  (omitted)
      year13 |   .0009467   .0015213     0.62   0.539    -.0021746    .0040681
      year14 |   .0198158   .0007152    27.71   0.000     .0183482    .0212833
      year15 |   .0001899    .001857     0.10   0.919    -.0036203    .0040001
      year16 |      .0213   .0002291    92.97   0.000     .0208299      .02177
      year17 |   .0127799   .0003439    37.17   0.000     .0120744    .0134855
      year18 |   .0140065    .000224    62.53   0.000     .0135469    .0144661
      year19 |   .0022526   .0011224     2.01   0.055    -.0000503    .0045555
      year20 |          0  (omitted)
      year21 |   .0097077   .0019677     4.93   0.000     .0056703    .0137452
      year22 |   .0225654   .0003439    65.62   0.000     .0218599     .023271
      year23 |   .0022294   .0015089     1.48   0.151    -.0008666    .0053253
      year24 |   .0158103   .0007142    22.14   0.000     .0143448    .0172759
      year25 |   .0090111   .0007026    12.83   0.000     .0075694    .0104527
      year26 |   .0176817   .0003575    49.46   0.000     .0169482    .0184152
      year27 |          0  (omitted)
      year28 |    .015398   .0002239    68.76   0.000     .0149385    .0158575
      year29 |          0  (omitted)
      year30 |   .0138404   .0003439    40.25   0.000     .0131349     .014546
      year31 |   .0128906   .0007067    18.24   0.000     .0114406    .0143407
      year32 |  -.0001565   .0007152    -0.22   0.828     -.001624    .0013111
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   .0048778    .001569     3.11   0.004     .0016585     .008097
      year36 |          0  (omitted)
      year37 |   .0126362   3.41e-11  3.7e+08   0.000     .0126362    .0126362
      year38 |   .0148395   .0004633    32.03   0.000     .0138888    .0157901
      year39 |          0  (omitted)
      year40 |   .0134565   .0015195     8.86   0.000     .0103389    .0165742
      year41 |          0  (omitted)
       _cons |   12.18045   .0093644  1300.71   0.000     12.16123    12.19966
------------------------------------------------------------------------------

. 
. *----------------------------- Average RPS Effect ---------------------------
> -*
. foreach y_var in `wind_outcome'{
  2. 
.         tokenize "`y_var'", parse("_")
  3.         local y_name "`3'"
  4.         di "`y_name'"
  5.         areg `y_var' postRPS_dum `trend', absorb(state) robust cluster(sta
> te)
  6.         estimates store `y_name'_avgEffect
  7.         
. }
capacity
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0801
                                                Adj R-squared     =     0.0690
                                                Root MSE          =   204.4252

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_capaci~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |   37.99583   13.72683     2.77   0.010     9.830708    66.16096
       year1 |          0  (omitted)
       year2 |  -.6651795   .4356595    -1.53   0.138    -1.559079    .2287199
       year3 |  -.1117916   .5708881    -0.20   0.846    -1.283157    1.059574
       year4 |    6.05512   .5061001    11.96   0.000     5.016688    7.093551
       year5 |  -1.299853   .4844763    -2.68   0.012    -2.293916   -.3057897
       year6 |          0  (omitted)
       year7 |   .3269644   .5949607     0.55   0.587    -.8937941    1.547723
       year8 |          0  (omitted)
       year9 |   2.660279   .3863312     6.89   0.000     1.867593    3.452965
      year10 |          0  (omitted)
      year11 |   20.91481   .1546648   135.23   0.000     20.59746    21.23215
      year12 |          0  (omitted)
      year13 |   2.215009   .6358751     3.48   0.002     .9103013    3.519717
      year14 |  -1.023015   .4844763    -2.11   0.044    -2.017078   -.0289515
      year15 |  -1.682098   .6468125    -2.60   0.015    -3.009247   -.3549482
      year16 |   .1687642   .2768084     0.61   0.547    -.3991998    .7367281
      year17 |   8.654768    .393637    21.99   0.000     7.847091    9.462444
      year18 |   .4716362   .2728394     1.73   0.095     -.088184    1.031456
      year19 |   25.76781   .8735254    29.50   0.000     23.97548    27.56014
      year20 |          0  (omitted)
      year21 |  -1.148732   .6384367    -1.80   0.083    -2.458696    .1612318
      year22 |   .0662225    .393637     0.17   0.868    -.7414538    .8738988
      year23 |  -1.743693    .637444    -2.74   0.011     -3.05162   -.4357664
      year24 |   6.739942   .4837383    13.93   0.000     5.747393    7.732491
      year25 |  -.1599086   .4807984    -0.33   0.742    -1.146425    .8266082
      year26 |  -1.129129   .4079822    -2.77   0.010     -1.96624   -.2920189
      year27 |          0  (omitted)
      year28 |  -.4718922   .2727788    -1.73   0.095    -1.031588    .0878036
      year29 |          0  (omitted)
      year30 |   12.12718    .393637    30.81   0.000      11.3195    12.93486
      year31 |   .1143667   .4826972     0.24   0.814    -.8760461     1.10478
      year32 |  -1.278794   .4844763    -2.64   0.014    -2.272857   -.2847309
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |    8.63975    .643944    13.42   0.000     7.318486    9.961014
      year36 |          0  (omitted)
      year37 |   1.541618          .        .       .            .           .
      year38 |   6.797969   .4036439    16.84   0.000      5.96976    7.626178
      year39 |          0  (omitted)
      year40 |    .205051   .6345631     0.32   0.749    -1.096965    1.507067
      year41 |          0  (omitted)
       _cons |   18.54425   6.610374     2.81   0.009     4.980888    32.10762
------------------------------------------------------------------------------
count
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0587
                                                Adj R-squared     =     0.0473
                                                Root MSE          =   367.9623

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_count_~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |   20.12911   9.120344     2.21   0.036     1.415712    38.84251
       year1 |          0  (omitted)
       year2 |  -.3571762   .2894597    -1.23   0.228    -.9510986    .2367461
       year3 |   .6692941    .379308     1.76   0.089    -.1089817     1.44757
       year4 |   4.532728   .3362617    13.48   0.000     3.842776     5.22268
       year5 |   -.689851   .3218945    -2.14   0.041    -1.350324   -.0293781
       year6 |          0  (omitted)
       year7 |   .8420093   .3953022     2.13   0.042     .0309161    1.653103
       year8 |          0  (omitted)
       year9 |    1.78256   .2566852     6.94   0.000     1.255886    2.309235
      year10 |          0  (omitted)
      year11 |   15.31436    .102762   149.03   0.000     15.10351    15.52521
      year12 |          0  (omitted)
      year13 |   1.166813   .4224865     2.76   0.010     .2999425    2.033684
      year14 |  -.5832333   .3218945    -1.81   0.081    -1.243706    .0772396
      year15 |  -.8528643   .4297535    -1.98   0.057    -1.734646    .0289171
      year16 |   .1498815   .1839163     0.81   0.422    -.2274837    .5272466
      year17 |   7.054662   .2615393    26.97   0.000     6.518027    7.591296
      year18 |   .2646755   .1812793     1.46   0.156    -.1072788    .6366298
      year19 |   18.95997   .5803855    32.67   0.000     17.76911    20.15082
      year20 |          0  (omitted)
      year21 |  -.6633281   .4241885    -1.56   0.130    -1.533691    .2070348
      year22 |  -.0805407   .2615393    -0.31   0.760    -.6171749    .4560936
      year23 |  -.9209186   .4235289    -2.17   0.039    -1.789928    -.051909
      year24 |   5.627544   .3214042    17.51   0.000     4.968077    6.287011
      year25 |   .0141836   .3194508     0.04   0.965    -.6412753    .6696426
      year26 |  -.5966208   .2710705    -2.20   0.036    -1.152811   -.0404301
      year27 |          0  (omitted)
      year28 |  -.2391871    .181239    -1.32   0.198    -.6110588    .1326845
      year29 |          0  (omitted)
      year30 |   8.462768   .2615393    32.36   0.000     7.926134    8.999402
      year31 |   .0975866   .3207124     0.30   0.763    -.5604609    .7556342
      year32 |   -.639851   .3218945    -1.99   0.057    -1.300324    .0206219
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   6.066832   .4278476    14.18   0.000     5.188961    6.944703
      year36 |          0  (omitted)
      year37 |   1.099265   1.36e-10  8.1e+09   0.000     1.099265    1.099265
      year38 |    4.49711    .268188    16.77   0.000     3.946833    5.047386
      year39 |          0  (omitted)
      year40 |   .4172891   .4216148     0.99   0.331     -.447793    1.282371
      year41 |          0  (omitted)
       _cons |   53.39421   4.392048    12.16   0.000     44.38247    62.40594
------------------------------------------------------------------------------
lncapacity
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1864
                                                Adj R-squared     =     0.1766
                                                Root MSE          =     1.1731

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_lncapa~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |   .4217384   .1152486     3.66   0.001     .1852679    .6582089
       year1 |          0  (omitted)
       year2 |   .0063213   .0036577     1.73   0.095    -.0011837    .0138264
       year3 |   .0001687   .0047931     0.04   0.972     -.009666    .0100033
       year4 |   .0493742   .0042491    11.62   0.000     .0406557    .0580928
       year5 |   .0077336   .0040676     1.90   0.068    -.0006124    .0160796
       year6 |          0  (omitted)
       year7 |   .0529277   .0049952    10.60   0.000     .0426783     .063177
       year8 |          0  (omitted)
       year9 |   .0413052   .0032436    12.73   0.000       .03465    .0479605
      year10 |          0  (omitted)
      year11 |    .142467   .0012985   109.71   0.000     .1398026    .1451314
      year12 |          0  (omitted)
      year13 |   .0861017   .0053387    16.13   0.000     .0751476    .0970559
      year14 |  -.0027029   .0040676    -0.66   0.512    -.0110489    .0056431
      year15 |   .0038343   .0054305     0.71   0.486    -.0073083    .0149768
      year16 |   .0227631    .002324     9.79   0.000     .0179945    .0275316
      year17 |   .0843881   .0033049    25.53   0.000      .077607    .0911693
      year18 |   .0107235   .0022907     4.68   0.000     .0060233    .0154236
      year19 |   .3567102    .007334    48.64   0.000     .3416621    .3717583
      year20 |          0  (omitted)
      year21 |    .000869   .0053602     0.16   0.872    -.0101293    .0118673
      year22 |   .0447171   .0033049    13.53   0.000     .0379359    .0514982
      year23 |  -.0136637   .0053519    -2.55   0.017    -.0246449   -.0026825
      year24 |   .1686126   .0040614    41.52   0.000     .1602793    .1769459
      year25 |   .0057452   .0040367     1.42   0.166    -.0025374    .0140279
      year26 |  -.0123777   .0034254    -3.61   0.001     -.019406   -.0053495
      year27 |          0  (omitted)
      year28 |   .0029976   .0022902     1.31   0.202    -.0017016    .0076967
      year29 |          0  (omitted)
      year30 |   .0515774   .0033049    15.61   0.000     .0447962    .0583585
      year31 |   .0340453   .0040527     8.40   0.000     .0257299    .0423606
      year32 |   .0124437   .0040676     3.06   0.005     .0040977    .0207897
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   .0324037   .0054065     5.99   0.000     .0213105    .0434969
      year36 |          0  (omitted)
      year37 |    .123994          .        .       .            .           .
      year38 |   .0567899   .0033889    16.76   0.000     .0498364    .0637435
      year39 |          0  (omitted)
      year40 |   .0517515   .0053277     9.71   0.000     .0408199     .062683
      year41 |          0  (omitted)
       _cons |   .3526651   .0554998     6.35   0.000      .238789    .4665413
------------------------------------------------------------------------------
lncount
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1530
                                                Adj R-squared     =     0.1428
                                                Root MSE          =     1.3618

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_lncoun~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |   .3825921    .107241     3.57   0.001     .1625519    .6026324
       year1 |          0  (omitted)
       year2 |   .0046982   .0034036     1.38   0.179    -.0022854    .0116818
       year3 |  -.0103793   .0044601    -2.33   0.028    -.0195306    -.001228
       year4 |   .0484708   .0039539    12.26   0.000     .0403581    .0565836
       year5 |   .0007674    .003785     0.20   0.841    -.0069987    .0085336
       year6 |          0  (omitted)
       year7 |   .0496214   .0046481    10.68   0.000     .0400842    .0591586
       year8 |          0  (omitted)
       year9 |   .0404445   .0030182    13.40   0.000     .0342517    .0466374
      year10 |          0  (omitted)
      year11 |   .1351571   .0012083   111.86   0.000     .1326778    .1376363
      year12 |          0  (omitted)
      year13 |   .0748612   .0049678    15.07   0.000     .0646681    .0850542
      year14 |  -.0036424    .003785    -0.96   0.344    -.0114085    .0041238
      year15 |   .0102332   .0050532     2.03   0.053    -.0001352    .0206015
      year16 |   .0208555   .0021626     9.64   0.000     .0164183    .0252928
      year17 |   .0838572   .0030753    27.27   0.000     .0775472    .0901672
      year18 |   .0094395   .0021316     4.43   0.000     .0050659    .0138131
      year19 |    .346575   .0068244    50.78   0.000     .3325724    .3605775
      year20 |          0  (omitted)
      year21 |  -.0006091   .0049878    -0.12   0.904    -.0108432     .009625
      year22 |   .0355221   .0030753    11.55   0.000     .0292122    .0418321
      year23 |  -.0128095     .00498    -2.57   0.016    -.0230277   -.0025913
      year24 |   .1589523   .0037792    42.06   0.000      .151198    .1667066
      year25 |   .0059387   .0037562     1.58   0.126    -.0017685    .0136458
      year26 |  -.0102296   .0031874    -3.21   0.003    -.0167695   -.0036896
      year27 |          0  (omitted)
      year28 |   .0060547   .0021311     2.84   0.008      .001682    .0104273
      year29 |          0  (omitted)
      year30 |   .0523386   .0030753    17.02   0.000     .0460286    .0586485
      year31 |   .0291934   .0037711     7.74   0.000     .0214558     .036931
      year32 |   .0188845    .003785     4.99   0.000     .0111184    .0266506
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   .0312242   .0050308     6.21   0.000     .0209019    .0415466
      year36 |          0  (omitted)
      year37 |   .1397622          .        .       .            .           .
      year38 |   .0545885   .0031535    17.31   0.000     .0481181    .0610589
      year39 |          0  (omitted)
      year40 |   .0523857   .0049575    10.57   0.000     .0422137    .0625577
      year41 |          0  (omitted)
       _cons |   .4145907   .0516436     8.03   0.000     .3086268    .5205546
------------------------------------------------------------------------------

. 
. foreach y_var in `election_outcome'{
  2.         
.         local y_name = substr("`y_var'", 1, 3)
  3.         areg `y_var' postRPS_dum `trend', absorb(state) robust cluster(sta
> te)
  4.         estimates store `y_name'_avgEffect
  5.         
. }
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1098
                                                Adj R-squared     =     0.0991
                                                Root MSE          =    22.0844

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
demvotesma~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |    4.38594   1.202466     3.65   0.001     1.918684    6.853196
       year1 |          0  (omitted)
       year2 |   .2635794   .0381636     6.91   0.000     .1852741    .3418847
       year3 |   .0366856   .0500096     0.73   0.470    -.0659257    .1392969
       year4 |   .1072961   .0443342     2.42   0.023     .0163298    .1982623
       year5 |  -.6620405     .04244   -15.60   0.000    -.7491201   -.5749608
       year6 |          0  (omitted)
       year7 |  -.6338085   .0521184   -12.16   0.000    -.7407465   -.5268704
       year8 |          0  (omitted)
       year9 |   .0606766   .0338425     1.79   0.084    -.0087625    .1301156
      year10 |          0  (omitted)
      year11 |  -.0722655   .0135486    -5.33   0.000    -.1000649   -.0444661
      year12 |          0  (omitted)
      year13 |   .6611697   .0557025    11.87   0.000     .5468777    .7754617
      year14 |   -.123115     .04244    -2.90   0.007    -.2101946   -.0360354
      year15 |   .1307013   .0566606     2.31   0.029     .0144434    .2469592
      year16 |   -.320458   .0242483   -13.22   0.000    -.3702115   -.2707046
      year17 |  -.1913422   .0344825    -5.55   0.000    -.2620944     -.12059
      year18 |  -.5886871   .0239006   -24.63   0.000    -.6377272    -.539647
      year19 |  -1.036196   .0765206   -13.54   0.000    -1.193203   -.8791891
      year20 |          0  (omitted)
      year21 |  -.0917609   .0559269    -1.64   0.112    -.2065133    .0229915
      year22 |   .2683223   .0344825     7.78   0.000     .1975701    .3390745
      year23 |  -.0103479   .0558399    -0.19   0.854    -.1249219    .1042261
      year24 |    .340548   .0423753     8.04   0.000      .253601    .4274949
      year25 |   .1616119   .0421178     3.84   0.001     .0751934    .2480305
      year26 |  -.3310039   .0357391    -9.26   0.000    -.4043345   -.2576733
      year27 |          0  (omitted)
      year28 |  -.0494202   .0238953    -2.07   0.048    -.0984494    -.000391
      year29 |          0  (omitted)
      year30 |  -.1133453   .0344825    -3.29   0.003    -.1840975   -.0425931
      year31 |  -.1193892   .0422841    -2.82   0.009    -.2061491   -.0326294
      year32 |   .7721029     .04244    18.19   0.000     .6850232    .8591825
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |  -1.116842   .0564093   -19.80   0.000    -1.232585     -1.0011
      year36 |          0  (omitted)
      year37 |   1.917007          .        .       .            .           .
      year38 |  -.1077645   .0353591    -3.05   0.005    -.1803153   -.0352137
      year39 |          0  (omitted)
      year40 |  -.4894806   .0555875    -8.81   0.000    -.6035367   -.3754244
      year41 |          0  (omitted)
       _cons |   53.08092   .5790667    91.67   0.000     51.89278    54.26907
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1115
                                                Adj R-squared     =     0.1007
                                                Root MSE          =    22.1011

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
repvotesma~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |  -4.471565    1.18792    -3.76   0.001    -6.908976   -2.034155
       year1 |          0  (omitted)
       year2 |  -.2608618    .037702    -6.92   0.000    -.3382199   -.1835038
       year3 |  -.1288717   .0494047    -2.61   0.015    -.2302417   -.0275016
       year4 |  -.1041391   .0437979    -2.38   0.025     -.194005   -.0142732
       year5 |   .6650626   .0419266    15.86   0.000     .5790363    .7510888
       year6 |          0  (omitted)
       year7 |   .6375197   .0514879    12.38   0.000     .5318752    .7431642
       year8 |          0  (omitted)
       year9 |  -.0582667   .0334331    -1.74   0.093    -.1268658    .0103323
      year10 |          0  (omitted)
      year11 |   .0732302   .0133847     5.47   0.000     .0457671    .1006933
      year12 |          0  (omitted)
      year13 |  -.6572032   .0550286   -11.94   0.000    -.7701127   -.5442938
      year14 |   .1261371   .0419266     3.01   0.006     .0401108    .2121633
      year15 |  -.1266666   .0559752    -2.26   0.032    -.2415182   -.0118151
      year16 |   .3221847    .023955    13.45   0.000     .2730331    .3713363
      year17 |   .1937976   .0340653     5.69   0.000     .1239013     .263694
      year18 |    .590389   .0236115    25.00   0.000     .5419422    .6388359
      year19 |   1.041645   .0755949    13.78   0.000     .8865371    1.196753
      year20 |          0  (omitted)
      year21 |   .0957433   .0552503     1.73   0.095     -.017621    .2091076
      year22 |  -.2658669   .0340653    -7.80   0.000    -.3357632   -.1959705
      year23 |   .0143241   .0551644     0.26   0.797    -.0988639    .1275121
      year24 |  -.3375305   .0418627    -8.06   0.000    -.4234257   -.2516353
      year25 |  -.1586128   .0416083    -3.81   0.001     -.243986   -.0732396
      year26 |   .3335488   .0353068     9.45   0.000     .2611053    .4059924
      year27 |          0  (omitted)
      year28 |   .0511218   .0236063     2.17   0.039     .0026857    .0995579
      year29 |          0  (omitted)
      year30 |   .1158008   .0340653     3.40   0.002     .0459044    .1856971
      year31 |   .1224002   .0417726     2.93   0.007     .0366898    .2081105
      year32 |  -.7690808   .0419266   -18.34   0.000     -.855107   -.6830545
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   1.120859   .0557269    20.11   0.000     1.006517    1.235201
      year36 |          0  (omitted)
      year37 |  -1.917007   5.31e-11 -3.6e+10   0.000    -1.917007   -1.917007
      year38 |   .1102824   .0349313     3.16   0.004     .0386092    .1819556
      year39 |          0  (omitted)
      year40 |   .4934388   .0549151     8.99   0.000     .3807624    .6061153
      year41 |          0  (omitted)
       _cons |   46.79451   .5720619    81.80   0.000     45.62074    47.96829
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,150
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0978
                                                Adj R-squared     =     0.0855
                                                Root MSE          =    13.5463

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
incumbvote~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |  -1.105708   1.449986    -0.76   0.452    -4.080833    1.869418
       year1 |          0  (omitted)
       year2 |  -.3474738   .0465009    -7.47   0.000    -.4428858   -.2520618
       year3 |   .1818548   .0598254     3.04   0.005     .0591032    .3046064
       year4 |  -.0390131   .0538395    -0.72   0.475    -.1494827    .0714565
       year5 |   .2879678    .045836     6.28   0.000     .1939201    .3820154
       year6 |          0  (omitted)
       year7 |  -.7857044   .0601748   -13.06   0.000    -.9091729   -.6622358
       year8 |          0  (omitted)
       year9 |  -.0126202   .0407526    -0.31   0.759    -.0962377    .0709972
      year10 |          0  (omitted)
      year11 |  -.3159101   .0178696   -17.68   0.000    -.3525756   -.2792447
      year12 |          0  (omitted)
      year13 |  -.1425699   .0670567    -2.13   0.043    -.2801589   -.0049809
      year14 |   .0584551   .0517246     1.13   0.268    -.0476749    .1645852
      year15 |    .147809   .0681578     2.17   0.039     .0079609    .2876572
      year16 |  -.0719735   .0262971    -2.74   0.011    -.1259308   -.0180163
      year17 |  -.0909202   .0418391    -2.17   0.039    -.1767669   -.0050735
      year18 |   .2851364   .0282024    10.11   0.000     .2272699    .3430029
      year19 |   .8731786   .0907754     9.62   0.000     .6869228    1.059434
      year20 |          0  (omitted)
      year21 |  -.0513673   .0719602    -0.71   0.481    -.1990174    .0962829
      year22 |   -.505848   .0409388   -12.36   0.000    -.5898474   -.4218486
      year23 |   .0483601   .0664861     0.73   0.473    -.0880581    .1847783
      year24 |  -.4167441   .0471163    -8.85   0.000    -.5134187   -.3200696
      year25 |  -.0554523   .0509238    -1.09   0.286    -.1599394    .0490348
      year26 |    .160619   .0428628     3.75   0.001     .0726717    .2485663
      year27 |          0  (omitted)
      year28 |  -.2236422   .0298961    -7.48   0.000     -.284984   -.1623004
      year29 |          0  (omitted)
      year30 |   .1775908   .0414062     4.29   0.000     .0926323    .2625493
      year31 |  -.1024312   .0515172    -1.99   0.057    -.2081358    .0032735
      year32 |    .259754   .0494662     5.25   0.000     .1582578    .3612502
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |  -.1864241   .0686188    -2.72   0.011    -.3272183   -.0456299
      year36 |          0  (omitted)
      year37 |   .1784823          .        .       .            .           .
      year38 |  -.0512647   .0429276    -1.19   0.243     -.139345    .0368155
      year39 |          0  (omitted)
      year40 |  -.0609677   .0680041    -0.90   0.378    -.2005006    .0785653
      year41 |          0  (omitted)
       _cons |   70.08283   .6971181   100.53   0.000     68.65246    71.51319
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3791
                                                Adj R-squared     =     0.3716
                                                Root MSE          = 53776.1432

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
     turnout |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |   19594.06   7052.716     2.78   0.010     5123.077    34065.03
       year1 |          0  (omitted)
       year2 |   1188.299   223.8378     5.31   0.000     729.0213    1647.576
       year3 |   103.6202    293.317     0.35   0.727    -498.2166     705.457
       year4 |    3723.18   260.0295    14.32   0.000     3189.644    4256.717
       year5 |   4984.863   248.9194    20.03   0.000     4474.122    5495.603
       year6 |          0  (omitted)
       year7 |   798.3297   305.6853     2.61   0.015     171.1153    1425.544
       year8 |          0  (omitted)
       year9 |   2220.639   198.4934    11.19   0.000     1813.365    2627.914
      year10 |          0  (omitted)
      year11 |   4056.163   79.46531    51.04   0.000     3893.114    4219.212
      year12 |          0  (omitted)
      year13 |   1895.165   326.7067     5.80   0.000     1224.818    2565.512
      year14 |   4230.823   248.9194    17.00   0.000     3720.083    4741.564
      year15 |   1584.572   332.3262     4.77   0.000     902.6946    2266.449
      year16 |   4476.595   142.2216    31.48   0.000     4184.781     4768.41
      year17 |   3372.464    202.247    16.67   0.000     2957.488    3787.441
      year18 |   3148.445   140.1823    22.46   0.000     2860.814    3436.075
      year19 |   2503.796   448.8092     5.58   0.000     1582.916    3424.677
      year20 |          0  (omitted)
      year21 |   3269.814   328.0228     9.97   0.000     2596.767    3942.862
      year22 |   4767.598    202.247    23.57   0.000     4352.622    5182.575
      year23 |   1263.469   327.5128     3.86   0.001     591.4687     1935.47
      year24 |   2985.529   248.5403    12.01   0.000     2475.567    3495.492
      year25 |   1386.065   247.0297     5.61   0.000     879.2019    1892.928
      year26 |   3674.734   209.6175    17.53   0.000     3244.634    4104.833
      year27 |          0  (omitted)
      year28 |   3321.817   140.1512    23.70   0.000     3034.251    3609.383
      year29 |          0  (omitted)
      year30 |   3597.231    202.247    17.79   0.000     3182.255    4012.208
      year31 |   2730.121   248.0053    11.01   0.000     2221.256    3238.986
      year32 |   83.23772   248.9194     0.33   0.741    -427.5027    593.9781
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   1263.026   330.8524     3.82   0.001      584.173    1941.879
      year36 |          0  (omitted)
      year37 |   2940.901          .        .       .            .           .
      year38 |   3501.474   207.3885    16.88   0.000     3075.948        3927
      year39 |          0  (omitted)
      year40 |   4476.169   326.0326    13.73   0.000     3807.206    5145.133
      year41 |          0  (omitted)
       _cons |   210202.7   3396.349    61.89   0.000       203234    217171.4
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      4,696
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3292
                                                Adj R-squared     =     0.3211
                                                Root MSE          =     0.3061

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
   lnturnout |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |   .1022151   .0438325     2.33   0.027     .0122783    .1921519
       year1 |          0  (omitted)
       year2 |   .0046804   .0013911     3.36   0.002      .001826    .0075348
       year3 |  -.0002188    .001823    -0.12   0.905    -.0039592    .0035216
       year4 |   .0146421   .0016161     9.06   0.000     .0113262     .017958
       year5 |   .0177588    .001547    11.48   0.000     .0145845     .020933
       year6 |          0  (omitted)
       year7 |   .0049259   .0018998     2.59   0.015     .0010278     .008824
       year8 |          0  (omitted)
       year9 |   .0104904   .0012336     8.50   0.000     .0079592    .0130216
      year10 |          0  (omitted)
      year11 |   .0176596   .0004939    35.76   0.000     .0166462    .0186729
      year12 |          0  (omitted)
      year13 |   .0052271   .0020305     2.57   0.016     .0010609    .0093933
      year14 |   .0204468    .001547    13.22   0.000     .0172726    .0236211
      year15 |   .0063784   .0020654     3.09   0.005     .0021406    .0106163
      year16 |   .0205964   .0008839    23.30   0.000     .0187828    .0224101
      year17 |   .0118866    .001257     9.46   0.000     .0093075    .0144656
      year18 |   .0133023   .0008712    15.27   0.000     .0115146    .0150899
      year19 |   .0023994   .0027893     0.86   0.397    -.0033238    .0081227
      year20 |          0  (omitted)
      year21 |   .0166149   .0020387     8.15   0.000     .0124319    .0207978
      year22 |   .0216721    .001257    17.24   0.000      .019093    .0242511
      year23 |   .0064245   .0020355     3.16   0.004     .0022481     .010601
      year24 |    .016441   .0015447    10.64   0.000     .0132716    .0196104
      year25 |   .0095947   .0015353     6.25   0.000     .0064446    .0127449
      year26 |   .0167623   .0013028    12.87   0.000     .0140892    .0194354
      year27 |          0  (omitted)
      year28 |   .0146939    .000871    16.87   0.000     .0129067    .0164811
      year29 |          0  (omitted)
      year30 |   .0129471    .001257    10.30   0.000      .010368    .0155261
      year31 |   .0134844   .0015413     8.75   0.000     .0103218    .0166469
      year32 |   .0004746    .001547     0.31   0.761    -.0026996    .0036489
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   .0093808   .0020562     4.56   0.000     .0051618    .0135999
      year36 |          0  (omitted)
      year37 |   .0126362   3.36e-11  3.8e+08   0.000     .0126362    .0126362
      year38 |   .0145796   .0012889    11.31   0.000     .0119349    .0172242
      year39 |          0  (omitted)
      year40 |   .0177361   .0020263     8.75   0.000     .0135785    .0218937
      year41 |          0  (omitted)
       _cons |   12.18672   .0211082   577.34   0.000     12.14341    12.23003
------------------------------------------------------------------------------

. 
. *-------------------- Export LaTeX Tables: Results on RPS -------------------
> -*
. cd "$rootDir/$resultDir/Tables"
/Users/AliceZhang/Dropbox/Research_Columbia/Renewables Voting (Urpelainen Zhang
> )/JOP/UZ_JOP2021_Replication/Results/Tables

. 
. ** Effect of RPS on wind turbine construction
. * Trend Break
. esttab capacity_trendBreak count_trendBreak lncapacity_trendBreak ///
>                 lncount_trendBreak using TableA23.tex, booktabs replace ///
>                 keep(RPS_event) ///
>                 b(%9.3f) se noconstant nonotes star(* 0.10 ** 0.05 *** 0.01) 
> ///
>                 stats(N N_clust r2, labels("Observations" "States" "\(R^{2}\)
> ") fmt(0 0 2)) ///
>                 varlabels(RPS_event "RPS $\times$ Event Time") varwidth(27) m
> odelwidth(13) ///
>                 mtitles("Capacity (MW)" "Count" "Log Capacity" "Log Count") /
> //
>                 mgroups("A. Linear Trend Break", pattern(1 0 0 0) prefix(\mul
> ticolumn{@span}{c}{) suffix(}) span erepeat(\cmidrule(lr){@span})) ///
>                 width(\hsize)
(output written to TableA23.tex)

.                 
. 
. * Average Effect
. esttab capacity_avgEffect count_avgEffect lncapacity_avgEffect ///
>                 lncount_avgEffect using TableA23.tex, booktabs append ///
>                 keep(postRPS_dum) ///
>                 se noconstant nonotes legend nonumbers collabels(none) star(*
>  0.10 ** 0.05 *** 0.01) ///
>                 b(%9.3f) stats(N N_clust r2, labels("Observations" "States" "
> \(R^{2}\)") fmt(0 0 2)) ///
>                 varlabels(postRPS_dum "RPS") varwidth(27) modelwidth(13) ///
>                 mtitles("Capacity (MW)" "Count" "Log Capacity" "Log Count") /
> //
>                 mgroups("B. Average Effect", pattern(1 0 0 0) prefix(\multico
> lumn{@span}{c}{) suffix(}) span erepeat(\cmidrule(lr){@span})) ///
>                 width(\hsize)
(output written to TableA23.tex)

. 
.                 
. *****************************************************************************
> **
. /*                                                TABLE A24                  
>                                             */
. *****************************************************************************
> **
. 
. ** Effect of RPS on election outcomes
. * Trend Break
. esttab dem_trendBreak rep_trendBreak inc_trendBreak using TableA24.tex, bookt
> abs replace ///
>                 keep(RPS_event) ///
>                 b(%9.3f) se noconstant nonotes star(* 0.10 ** 0.05 *** 0.01) 
> ///
>                 stats(N N_clust r2, labels("Observations" "States" "\(R^{2}\)
> ") fmt(0 0 2)) ///
>                 varlabels(RPS_event "RPS $\times$ Event Time") varwidth(27) m
> odelwidth(13) ///
>                 mtitles("Democratic Vote" "Republican Vote" "Incumbent Vote")
>  ///
>                 mgroups("A. Linear Trend Break", pattern(1 0 0) prefix(\multi
> column{@span}{c}{) suffix(}) span erepeat(\cmidrule(lr){@span})) ///
>                 width(\hsize)
(output written to TableA24.tex)

.                 
. * Average Effect
. esttab dem_avgEffect rep_avgEffect inc_avgEffect using TableA24.tex, booktabs
>  append ///
>                 keep(postRPS_dum) ///
>                 se noconstant nonotes legend nonumbers collabels(none) star(*
>  0.10 ** 0.05 *** 0.01) ///
>                 b(%9.3f) stats(N N_clust r2, labels("Observations" "States" "
> \(R^{2}\)") fmt(0 0 2)) ///
>                 varlabels(postRPS_dum "RPS") varwidth(27) modelwidth(13) ///
>                 mtitles("Democratic Vote" "Republican Vote" "Incumbent Vote")
>  ///
>                 mgroups("B. Average Effect", pattern(1 0 0) prefix(\multicolu
> mn{@span}{c}{) suffix(}) span erepeat(\cmidrule(lr){@span})) ///
>                 width(\hsize)
(output written to TableA24.tex)

. 
.                 
. *****************************************************************************
> **
. /*                                                TABLE A25                  
>                                             */
. *****************************************************************************
> **
. cd "$rootDir/$dataDir/Final"
/Users/AliceZhang/Dropbox/Research_Columbia/Renewables Voting (Urpelainen Zhang
> )/JOP/UZ_JOP2021_Replication/Data/Final

. use votes_wind_panel_RPS_recodeVar.dta, clear

. 
. capture drop postRPS_year

. capture drop postRPS_dum

. 
. * Create event indicators 
. gen postRPS_year = year - start_year_verified
(2,104 missing values generated)

. gen postRPS_dum = postRPS_year > 0 & postRPS_year != .

. gen RPS_event = postRPS_dum * postRPS_year
(2,104 missing values generated)

. 
. * State-specific time trend
. capture drop s1-s41

. capture drop year1-year41

. tab state, gen(s)

               State |      Freq.     Percent        Cum.
---------------------+-----------------------------------
              Alaska |         33        0.28        0.28
             Arizona |        206        1.75        2.03
          California |      1,639       13.91       15.93
            Colorado |        207        1.76       17.69
            Delaware |         33        0.28       17.97
             Florida |        725        6.15       24.12
              Hawaii |         66        0.56       24.68
               Idaho |         66        0.56       25.24
            Illinois |        626        5.31       30.55
             Indiana |        297        2.52       33.07
                Iowa |        164        1.39       34.46
              Kansas |        132        1.12       35.58
               Maine |         66        0.56       36.14
            Maryland |        264        2.24       38.38
       Massachusetts |        329        2.79       41.18
            Michigan |        494        4.19       45.37
           Minnesota |        264        2.24       47.61
            Missouri |        296        2.51       50.12
             Montana |         21        0.18       50.30
            Nebraska |         99        0.84       51.14
              Nevada |         73        0.62       51.76
       New Hampshire |         66        0.56       52.32
          New Jersey |        425        3.61       55.92
          New Mexico |         97        0.82       56.75
            New York |        954        8.09       64.84
      North Carolina |        395        3.35       68.19
        North Dakota |         33        0.28       68.47
                Ohio |        592        5.02       73.49
            Oklahoma |        165        1.40       74.89
              Oregon |        163        1.38       76.28
        Pennsylvania |        626        5.31       81.59
        Rhode Island |         66        0.56       82.15
        South Dakota |         31        0.26       82.41
           Tennessee |        295        2.50       84.91
               Texas |        970        8.23       93.14
                Utah |         97        0.82       93.97
             Vermont |         33        0.28       94.25
          Washington |        283        2.40       96.65
       West Virginia |         99        0.84       97.49
           Wisconsin |        264        2.24       99.73
             Wyoming |         32        0.27      100.00
---------------------+-----------------------------------
               Total |     11,786      100.00

. local trend

. forvalues i=1/41 {
  2.         gen year`i' = s`i' * postRPS_year
  3.         local trend `trend' year`i'
  4. }
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)
(2,104 missing values generated)

. di "`trend'"
year1 year2 year3 year4 year5 year6 year7 year8 year9 year10 year11 year12 year
> 13 year14 year15 year16 year17 year18 year19 year20 year21 year22 year23 year
> 24 year25 year26 year27 year28 year29 year30 year31 year32 year33 year34 year
> 35 year36 year37 year38 year39 year40 year41

. 
. gen cum_lncapacity_turbine = log(cum_capacity_turbine + 1)

. gen cum_lncount_turbine = log(cum_count_turbine +1 )

. gen turnout = votes1 + votes2 + votes3 + votes4
(39 missing values generated)

. gen lnturnout = log(turnout)
(187 missing values generated)

. 
. *---------------------------- Linear Trend Break ----------------------------
> -*
. local wind_outcome cum_capacity_turbine cum_count_turbine cum_lncapacity_turb
> ine cum_lncount_turbine

. rename pro_env_clean_energy pro_env_clean

. rename pro_env_climate_change pro_env_climate

. 
. local environ_outcome pro_env anti_env pro_env_clean pro_env_air pro_env_clim
> ate

. 
. foreach y_var in `wind_outcome'{
  2. 
.         tokenize "`y_var'", parse("_")
  3.         local y_name "`3'"
  4.         di "`y_name'"
  5.         areg `y_var' RPS_event `trend', absorb(state) robust cluster(state
> )
  6.         estimates store `y_name'_trendBreak
  7.         
. }
capacity
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      9,682
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0944
                                                Adj R-squared     =     0.0891
                                                Root MSE          =   212.2850

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_capaci~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |   13.21391   4.167135     3.17   0.004     4.663652    21.76416
       year1 |          0  (omitted)
       year2 |  -1.408425   .6216216    -2.27   0.032    -2.683887   -.1329626
       year3 |  -2.267024   1.207132    -1.88   0.071    -4.743855    .2098067
       year4 |   5.197775   .8796676     5.91   0.000     3.392846    7.002703
       year5 |  -2.134105   .6852374    -3.11   0.004    -3.540096   -.7281139
       year6 |          0  (omitted)
       year7 |  -2.310045   1.339834    -1.72   0.096    -5.059157     .439068
       year8 |          0  (omitted)
       year9 |   2.478645   .4147906     5.98   0.000     1.627565    3.329725
      year10 |          0  (omitted)
      year11 |    10.8381   4.100943     2.64   0.014     2.423656    19.25254
      year12 |          0  (omitted)
      year13 |  -1.221051    1.70613    -0.72   0.480    -4.721741    2.279638
      year14 |  -2.292227   .8356554    -2.74   0.011    -4.006851    -.577604
      year15 |    -6.4493   2.074823    -3.11   0.004    -10.70648   -2.192115
      year16 |   .1058705    .301363     0.35   0.728    -.5124754    .7242163
      year17 |   8.589907   .4192205    20.49   0.000     7.729737    9.450076
      year18 |    .284123   .2979565     0.95   0.349    -.3272334    .8954793
      year19 |   25.91951   1.493674    17.35   0.000     22.85474    28.98428
      year20 |          0  (omitted)
      year21 |  -6.930594   2.392887    -2.90   0.007    -11.84039   -2.020796
      year22 |  -.2417734   .4192205    -0.58   0.569    -1.101943     .618396
      year23 |  -5.374797   1.701355    -3.16   0.004    -8.865689   -1.883905
      year24 |   5.628176   .8628137     6.52   0.000     3.857829    7.398524
      year25 |  -1.264988   .8274946    -1.53   0.138    -2.962867    .4328906
      year26 |  -1.384022    .436524    -3.17   0.004    -2.279695    -.488349
      year27 |          0  (omitted)
      year28 |  -.5746266   .2979565    -1.93   0.064    -1.185983    .0367297
      year29 |          0  (omitted)
      year30 |    12.3278    .427574    28.83   0.000     11.45049    13.20511
      year31 |  -1.145692   .8304304    -1.38   0.179    -2.849595    .5582102
      year32 |  -2.587849   .8356554    -3.10   0.005    -4.302472   -.8732257
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   5.014628   1.771968     2.83   0.009     1.378851    8.650405
      year36 |          0  (omitted)
      year37 |   1.643783   4.54e-11  3.6e+10   0.000     1.643783    1.643783
      year38 |     6.3271   .5671702    11.16   0.000     5.163363    7.490837
      year39 |          0  (omitted)
      year40 |  -3.430955    1.70613    -2.01   0.054    -6.931644    .0697342
      year41 |          0  (omitted)
       _cons |   3.374826   11.11834     0.30   0.764    -19.43813    26.18778
------------------------------------------------------------------------------
count
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      9,682
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0596
                                                Adj R-squared     =     0.0541
                                                Root MSE          =   368.1181

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_count_~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |   6.684217   3.095166     2.16   0.040     .3334613    13.03497
       year1 |          0  (omitted)
       year2 |  -.7053817   .4617134    -1.53   0.138    -1.652739    .2419759
       year3 |   .1393633   .8966051     0.16   0.878    -1.700318    1.979045
       year4 |   4.176267   .6533787     6.39   0.000     2.835645     5.51689
       year5 |  -1.079758   .5089645    -2.12   0.043    -2.124067   -.0354488
       year6 |          0  (omitted)
       year7 |  -.4689897   .9951704    -0.47   0.641    -2.510911    1.572931
       year8 |          0  (omitted)
       year9 |   1.722117   .3080883     5.59   0.000     1.089972    2.354262
      year10 |          0  (omitted)
      year11 |   10.20231   3.046002     3.35   0.002      3.95243    16.45219
      year12 |          0  (omitted)
      year13 |  -.5130904   1.267239    -0.40   0.689     -3.11325    2.087069
      year14 |   -1.19737   .6206884    -1.93   0.064    -2.470917    .0761776
      year15 |  -3.214357   1.541088    -2.09   0.047    -6.376408   -.0523066
      year16 |    .149305   .2238393     0.67   0.510    -.3099754    .6085853
      year17 |   7.035654   .3113787    22.60   0.000     6.396757     7.67455
      year18 |   .1837361   .2213091     0.83   0.414    -.2703527    .6378249
      year19 |   19.63916   1.109436    17.70   0.000     17.36279    21.91554
      year20 |          0  (omitted)
      year21 |  -3.548292   1.777332    -2.00   0.056    -7.195075    .0984922
      year22 |  -.2030245   .3113787    -0.65   0.520    -.8419208    .4358717
      year23 |  -2.715583   1.263692    -2.15   0.041    -5.308465   -.1227006
      year24 |   5.113899   .6408604     7.98   0.000     3.798962    6.428836
      year25 |   -.489548   .6146269    -0.80   0.433    -1.750658    .7715622
      year26 |  -.6983265    .324231    -2.15   0.040    -1.363593   -.0330595
      year27 |          0  (omitted)
      year28 |  -.2718081   .2213091    -1.23   0.230    -.7258968    .1822807
      year29 |          0  (omitted)
      year30 |   8.605571   .3175833    27.10   0.000     7.953943    9.257198
      year31 |  -.5055063   .6168075    -0.82   0.420    -1.771091    .7600781
      year32 |  -1.267891   .6206884    -2.04   0.051    -2.541439    .0056562
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   4.276356    1.31614     3.25   0.003     1.575859    6.976852
      year36 |          0  (omitted)
      year37 |   1.130682          .        .       .            .           .
      year38 |   4.252081   .4212693    10.09   0.000     3.387708    5.116454
      year39 |          0  (omitted)
      year40 |  -1.386169   1.267239    -1.09   0.284    -3.986328    1.213991
      year41 |          0  (omitted)
       _cons |   46.10468   8.258221     5.58   0.000     29.16021    63.04915
------------------------------------------------------------------------------
lncapacity
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      9,682
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2017
                                                Adj R-squared     =     0.1971
                                                Root MSE          =     1.1901

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_lncapa~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |   .0952856   .0212163     4.49   0.000     .0517534    .1388178
       year1 |          0  (omitted)
       year2 |   .0091217   .0031649     2.88   0.008     .0026279    .0156155
       year3 |  -.0097077   .0061459    -1.58   0.126    -.0223181    .0029027
       year4 |   .0480395   .0044787    10.73   0.000       .03885     .057229
       year5 |    .005628   .0034888     1.61   0.118    -.0015304    .0127864
       year6 |          0  (omitted)
       year7 |    .039395   .0068215     5.78   0.000     .0253984    .0533917
       year8 |          0  (omitted)
       year9 |   .0444811   .0021118    21.06   0.000      .040148    .0488142
      year10 |          0  (omitted)
      year11 |   .0584695   .0208793     2.80   0.009     .0156287    .1013102
      year12 |          0  (omitted)
      year13 |   .0674198   .0086865     7.76   0.000     .0495966    .0852429
      year14 |  -.0071266   .0042546    -1.68   0.105    -.0158563    .0016032
      year15 |  -.0208878   .0105636    -1.98   0.058    -.0425625     .000787
      year16 |    .023643   .0015343    15.41   0.000     .0204948    .0267912
      year17 |   .0851286   .0021344    39.88   0.000     .0807492     .089508
      year18 |   .0128005    .001517     8.44   0.000     .0096878    .0159131
      year19 |   .3857995   .0076048    50.73   0.000     .3701957    .4014032
      year20 |          0  (omitted)
      year21 |  -.0329483    .012183    -2.70   0.012    -.0579457   -.0079508
      year22 |   .0440053   .0021344    20.62   0.000     .0396259    .0483847
      year23 |  -.0329575   .0086622    -3.80   0.001    -.0507308   -.0151842
      year24 |   .1727353   .0043929    39.32   0.000     .1637218    .1817487
      year25 |   .0040803   .0042131     0.97   0.341    -.0045642    .0127247
      year26 |  -.0098031   .0022225    -4.41   0.000    -.0143633    -.005243
      year27 |          0  (omitted)
      year28 |   .0052444    .001517     3.46   0.002     .0021318     .008357
      year29 |          0  (omitted)
      year30 |   .0538704   .0021769    24.75   0.000     .0494037    .0583371
      year31 |   .0310269    .004228     7.34   0.000     .0223518    .0397021
      year32 |    .008307   .0042546     1.95   0.061    -.0004228    .0170367
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   .0112944   .0090217     1.25   0.221    -.0072166    .0298054
      year36 |          0  (omitted)
      year37 |   .1276758   6.13e-12  2.1e+10   0.000     .1276758    .1276758
      year38 |   .0549967   .0028877    19.05   0.000     .0490717    .0609216
      year39 |          0  (omitted)
      year40 |   .0321406   .0086865     3.70   0.001     .0143174    .0499638
      year41 |          0  (omitted)
       _cons |   .3181135   .0566072     5.62   0.000     .2019651     .434262
------------------------------------------------------------------------------
lncount
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      9,682
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1632
                                                Adj R-squared     =     0.1583
                                                Root MSE          =     1.3678

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_lncoun~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |   .0828567   .0196419     4.22   0.000     .0425549    .1231585
       year1 |          0  (omitted)
       year2 |   .0074113     .00293     2.53   0.018     .0013994    .0134232
       year3 |  -.0160799   .0056898    -2.83   0.009    -.0277545   -.0044053
       year4 |   .0476737   .0041463    11.50   0.000     .0391661    .0561813
       year5 |  -.0001882   .0032299    -0.06   0.954    -.0068153     .006439
       year6 |          0  (omitted)
       year7 |   .0395354   .0063153     6.26   0.000     .0265774    .0524934
       year8 |          0  (omitted)
       year9 |    .043739   .0019551    22.37   0.000     .0397274    .0477506
      year10 |          0  (omitted)
      year11 |   .0616693   .0193299     3.19   0.004     .0220077    .1013309
      year12 |          0  (omitted)
      year13 |   .0592396   .0080419     7.37   0.000      .042739    .0757401
      year14 |  -.0068266   .0039389    -1.73   0.094    -.0149085    .0012553
      year15 |  -.0100821   .0097797    -1.03   0.312    -.0301484    .0099842
      year16 |   .0220461   .0014205    15.52   0.000     .0191316    .0249607
      year17 |   .0850732    .001976    43.05   0.000     .0810188    .0891276
      year18 |   .0114994   .0014044     8.19   0.000     .0086177     .014381
      year19 |   .3704274   .0070405    52.61   0.000     .3559815    .3848732
      year20 |          0  (omitted)
      year21 |  -.0293167   .0112789    -2.60   0.015    -.0524591   -.0061742
      year22 |   .0356619    .001976    18.05   0.000     .0316075    .0397164
      year23 |  -.0288796   .0080194    -3.60   0.001     -.045334   -.0124253
      year24 |   .1627636   .0040669    40.02   0.000      .154419    .1711082
      year25 |   .0051169   .0039004     1.31   0.201    -.0028861    .0131199
      year26 |  -.0073821   .0020576    -3.59   0.001    -.0116038   -.0031603
      year27 |          0  (omitted)
      year28 |   .0085026   .0014044     6.05   0.000      .005621    .0113843
      year29 |          0  (omitted)
      year30 |   .0549105   .0020154    27.25   0.000     .0507753    .0590458
      year31 |   .0271426   .0039142     6.93   0.000     .0191112     .035174
      year32 |   .0169516   .0039389     4.30   0.000     .0088697    .0250335
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   .0135396   .0083522     1.62   0.117    -.0035977    .0306769
      year36 |          0  (omitted)
      year37 |   .1381818          .        .       .            .           .
      year38 |   .0533111   .0026734    19.94   0.000     .0478259    .0587964
      year39 |          0  (omitted)
      year40 |   .0355352   .0080419     4.42   0.000     .0190346    .0520357
      year41 |          0  (omitted)
       _cons |   .3926585   .0524065     7.49   0.000     .2851292    .5001878
------------------------------------------------------------------------------

. foreach y_var in `environ_outcome'{
  2.         areg `y_var' RPS_event `trend', absorb(state) robust cluster(state
> )
  3.         estimates store `y_var'_trendBreak
  4.         
. }
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      9,682
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1803
                                                Adj R-squared     =     0.1755
                                                Root MSE          =    32.1892

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
     pro_env |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |  -.2738245   .2252471    -1.22   0.235    -.7359935    .1883444
       year1 |          0  (omitted)
       year2 |   .6159026   .0336007    18.33   0.000     .5469598    .6848455
       year3 |   .4767465   .0652494     7.31   0.000     .3428658    .6106273
       year4 |   .0858406   .0475489     1.81   0.082    -.0117217    .1834028
       year5 |   .4819654   .0370393    13.01   0.000      .405967    .5579638
       year6 |          0  (omitted)
       year7 |   1.430079   .0724224    19.75   0.000      1.28148    1.578677
       year8 |          0  (omitted)
       year9 |   .2743827   .0224208    12.24   0.000     .2283791    .3203863
      year10 |          0  (omitted)
      year11 |  -.0822098   .2216693    -0.37   0.714    -.5370376    .3726179
      year12 |          0  (omitted)
      year13 |    1.10021   .0922218    11.93   0.000     .9109867    1.289434
      year14 |   .8193342   .0451699    18.14   0.000     .7266533    .9120152
      year15 |   1.005561   .1121509     8.97   0.000     .7754463    1.235675
      year16 |  -.4919231   .0162896   -30.20   0.000    -.5253467   -.4584995
      year17 |  -.4245642   .0226602   -18.74   0.000    -.4710592   -.3780693
      year18 |  -.3229273   .0161055   -20.05   0.000    -.3559731   -.2898815
      year19 |  -2.410024   .0807379   -29.85   0.000    -2.575685   -2.244364
      year20 |          0  (omitted)
      year21 |   .5690932   .1293433     4.40   0.000     .3037027    .8344837
      year22 |   .2792168   .0226602    12.32   0.000     .2327219    .3257118
      year23 |   .2188069   .0919637     2.38   0.025     .0301129    .4075009
      year24 |   1.295111   .0466379    27.77   0.000     1.199418    1.390804
      year25 |   .5263453   .0447288    11.77   0.000     .4345695    .6181212
      year26 |   .1552003   .0235955     6.58   0.000     .1067863    .2036144
      year27 |          0  (omitted)
      year28 |  -.2102649   .0161055   -13.06   0.000    -.2433107   -.1772192
      year29 |          0  (omitted)
      year30 |   .8718611   .0231118    37.72   0.000     .8244396    .9192825
      year31 |  -.1749568   .0448875    -3.90   0.001    -.2670583   -.0828554
      year32 |   .5561756   .0451699    12.31   0.000     .4634947    .6488565
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |  -.1119352   .0957806    -1.17   0.253    -.3084607    .0845903
      year36 |          0  (omitted)
      year37 |   .4693883   3.62e-11  1.3e+10   0.000     .4693883    .4693883
      year38 |   .3954004   .0306574    12.90   0.000     .3324967    .4583042
      year39 |          0  (omitted)
      year40 |  -.3559327   .0922218    -3.86   0.001    -.5451563   -.1667091
      year41 |          0  (omitted)
       _cons |   55.68778   .6009825    92.66   0.000     54.45467    56.92089
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      9,682
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1779
                                                Adj R-squared     =     0.1732
                                                Root MSE          =    32.2100

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
    anti_env |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |   -.406876   .2630628    -1.55   0.134    -.9466364    .1328843
       year1 |          0  (omitted)
       year2 |   -.522825   .0392417   -13.32   0.000    -.6033423   -.4423076
       year3 |  -.1709027   .0762038    -2.24   0.033      -.32726   -.0145453
       year4 |   .0858606   .0555316     1.55   0.134     -.028081    .1998021
       year5 |  -.1790863   .0432577    -4.14   0.000    -.2678437    -.090329
       year6 |          0  (omitted)
       year7 |  -.8352312    .084581    -9.87   0.000    -1.008777   -.6616852
       year8 |          0  (omitted)
       year9 |  -.0699115   .0261849    -2.67   0.013    -.1236385   -.0161845
      year10 |          0  (omitted)
      year11 |   .9014698   .2588843     3.48   0.002     .3702832    1.432657
      year12 |          0  (omitted)
      year13 |  -.7532692   .1077045    -6.99   0.000    -.9742607   -.5322778
      year14 |  -.5220752   .0527532    -9.90   0.000    -.6303159   -.4138345
      year15 |  -.2654128   .1309794    -2.03   0.053    -.5341603    .0033346
      year16 |   .7385783   .0190244    38.82   0.000     .6995433    .7776132
      year17 |   .5601977   .0264645    21.17   0.000      .505897    .6144985
      year18 |   .3970369   .0188094    21.11   0.000     .3584432    .4356306
      year19 |   2.707962   .0942927    28.72   0.000     2.514489    2.901434
      year20 |          0  (omitted)
      year21 |  -.1037985   .1510581    -0.69   0.498    -.4137442    .2061471
      year22 |   .0128857   .0264645     0.49   0.630    -.0414151    .0671864
      year23 |   .1186142   .1074031     1.10   0.279    -.1017588    .3389872
      year24 |  -1.113705   .0544677   -20.45   0.000    -1.225463   -1.001946
      year25 |  -.1802653   .0522381    -3.45   0.002     -.287449   -.0730816
      year26 |   .1148992   .0275569     4.17   0.000     .0583571    .1714412
      year27 |          0  (omitted)
      year28 |    .312646   .0188094    16.62   0.000     .2740523    .3512397
      year29 |          0  (omitted)
      year30 |    -.58977   .0269919   -21.85   0.000    -.6451528   -.5343873
      year31 |   .5120289   .0524234     9.77   0.000     .4044649    .6195928
      year32 |  -.3029897   .0527532    -5.74   0.000    -.4112304    -.194749
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   .5813132   .1118607     5.20   0.000      .351794    .8108325
      year36 |          0  (omitted)
      year37 |  -.2480666          .        .       .            .           .
      year38 |   -.015888   .0358043    -0.44   0.661    -.0893524    .0575764
      year39 |          0  (omitted)
      year40 |   .7835443   .1077045     7.27   0.000     .5625529    1.004536
      year41 |          0  (omitted)
       _cons |   42.53419   .7018786    60.60   0.000     41.09405    43.97432
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      6,245
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1165
                                                Adj R-squared     =     0.1085
                                                Root MSE          =    44.0848

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
pro_env_cl~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |   1.412932   .4290217     3.29   0.003     .5326527    2.293212
       year1 |          0  (omitted)
       year2 |   .0231336   .0801982     0.29   0.775    -.1414194    .1876866
       year3 |  -.2180624   .1558501    -1.40   0.173    -.5378405    .1017156
       year4 |   .0451244   .1133588     0.40   0.694    -.1874687    .2777175
       year5 |  -.0241538   .0912245    -0.26   0.793     -.211331    .1630234
       year6 |          0  (omitted)
       year7 |   .9096885   .1713017     5.31   0.000     .5582063    1.261171
       year8 |          0  (omitted)
       year9 |   .3973975   .0564628     7.04   0.000     .2815453    .5132497
      year10 |          0  (omitted)
      year11 |  -1.018197   .4290217    -2.37   0.025    -1.898476   -.1379169
      year12 |          0  (omitted)
      year13 |  -.1080087   .2126311    -0.51   0.616    -.5442918    .3282744
      year14 |  -.1285393   .1102831    -1.17   0.254    -.3548216     .097743
      year15 |  -.3595601   .2525286    -1.42   0.166     -.877706    .1585858
      year16 |  -.9619375   .0411135   -23.40   0.000    -1.046296   -.8775795
      year17 |  -1.081911   .0567119   -19.08   0.000    -1.198274   -.9655474
      year18 |  -.9421563   .0395628   -23.81   0.000    -1.023333     -.86098
      year19 |  -1.372525   .1517519    -9.04   0.000    -1.683894   -1.061156
      year20 |          0  (omitted)
      year21 |  -.3444701   .2621835    -1.31   0.200    -.8824262     .193486
      year22 |   .6428156   .0567119    11.33   0.000     .5264523     .759179
      year23 |  -.6815358   .2124748    -3.21   0.003    -1.117498   -.2455736
      year24 |   .9401064   .1102831     8.52   0.000     .7138241    1.166389
      year25 |  -.1412348   .1093708    -1.29   0.208    -.3656452    .0831756
      year26 |  -.1715561    .059021    -2.91   0.007    -.2926573   -.0504549
      year27 |          0  (omitted)
      year28 |  -.0585419   .0406774    -1.44   0.162     -.142005    .0249213
      year29 |          0  (omitted)
      year30 |   1.075108   .0567119    18.96   0.000     .9587449    1.191471
      year31 |   .1514047     .10968     1.38   0.179      -.07364    .3764494
      year32 |  -.1740858   .1102831    -1.58   0.126    -.4003682    .0521965
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |  -1.158273   .2180206    -5.31   0.000    -1.605614   -.7109318
      year36 |          0  (omitted)
      year37 |   .7875326   2.57e-11  3.1e+10   0.000     .7875326    .7875326
      year38 |  -.1886097   .0744275    -2.53   0.017    -.3413223   -.0358971
      year39 |          0  (omitted)
      year40 |  -1.611495   .2144215    -7.52   0.000    -2.051452   -1.171538
      year41 |          0  (omitted)
       _cons |   54.14061   1.216921    44.49   0.000      51.6437    56.63753
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      6,456
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1358
                                                Adj R-squared     =     0.1283
                                                Root MSE          =    44.8845

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
 pro_env_air |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |  -.2901404   .3547957    -0.82   0.421    -1.018121    .4378402
       year1 |          0  (omitted)
       year2 |  -.1142219   .0586647    -1.95   0.062    -.2345919    .0061481
       year3 |   .0049159   .1078322     0.05   0.964    -.2163375    .2261692
       year4 |  -.9656933   .0797567   -12.11   0.000    -1.129341   -.8020461
       year5 |   -.461774   .0626049    -7.38   0.000    -.5902286   -.3333193
       year6 |          0  (omitted)
       year7 |   1.687995   .1183139    14.27   0.000     1.445235    1.930755
       year8 |          0  (omitted)
       year9 |   .2387951   .0401818     5.94   0.000     .1563489    .3212412
      year10 |          0  (omitted)
      year11 |   -.548909   .3465966    -1.58   0.125    -1.260066    .1622484
      year12 |          0  (omitted)
      year13 |    .552316   .1490177     3.71   0.001     .2465568    .8580751
      year14 |   .9261273   .0754041    12.28   0.000     .7714109    1.080844
      year15 |   .7990821   .1782974     4.48   0.000     .4332462    1.164918
      year16 |   .0603891   .0312748     1.93   0.064    -.0037816    .1245597
      year17 |  -1.405945   .0406318   -34.60   0.000    -1.489315   -1.322576
      year18 |  -.1803518   .0300828    -6.00   0.000    -.2420765   -.1186271
      year19 |  -3.779263   .1390646   -27.18   0.000      -4.0646   -3.493926
      year20 |          0  (omitted)
      year21 |  -.6604297   .2164771    -3.05   0.005    -1.104604   -.2162554
      year22 |   -1.26022   .0406318   -31.02   0.000     -1.34359   -1.176851
      year23 |   -.774704   .1476361    -5.25   0.000    -1.077628   -.4717797
      year24 |   .2019296   .0791249     2.55   0.017     .0395787    .3642806
      year25 |   .2948557    .074722     3.95   0.001     .1415388    .4481727
      year26 |      .0001   .0424156     0.00   0.998    -.0869295    .0871296
      year27 |          0  (omitted)
      year28 |  -.0147972   .0310803    -0.48   0.638    -.0785687    .0489743
      year29 |          0  (omitted)
      year30 |   .3441209   .0418495     8.22   0.000     .2582529     .429989
      year31 |   -.244504   .0751473    -3.25   0.003    -.3986936   -.0903145
      year32 |   .4495185   .0754041     5.96   0.000     .2948022    .6042349
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |  -.1180506   .1551869    -0.76   0.453    -.4364678    .2003666
      year36 |          0  (omitted)
      year37 |   .3357244   2.88e-11  1.2e+10   0.000     .3357244    .3357244
      year38 |   .1305283   .0525515     2.48   0.019     .0227015    .2383551
      year39 |          0  (omitted)
      year40 |  -1.150305   .1490177    -7.72   0.000    -1.456064   -.8445459
      year41 |          0  (omitted)
       _cons |   55.93421   1.016965    55.00   0.000     53.84757    58.02086
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      3,270
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1731
                                                Adj R-squared     =     0.1587
                                                Root MSE          =    43.0068

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
pro_env_cl~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   RPS_event |  -4.933857   .8308065    -5.94   0.000    -6.638532   -3.229183
       year1 |          0  (omitted)
       year2 |   2.487282   .2569365     9.68   0.000     1.960092    3.014472
       year3 |      3.634   .4444021     8.18   0.000     2.722162    4.545838
       year4 |   2.855345   .3417185     8.36   0.000     2.154197    3.556493
       year5 |   4.398744    .289328    15.20   0.000     3.805092    4.992396
       year6 |          0  (omitted)
       year7 |   2.840194    .485275     5.85   0.000     1.844492    3.835896
       year8 |          0  (omitted)
       year9 |   1.815271    .191002     9.50   0.000     1.423367    2.207175
      year10 |          0  (omitted)
      year11 |   5.633274   .8308065     6.78   0.000       3.9286    7.337948
      year12 |          0  (omitted)
      year13 |   5.524451    .578984     9.54   0.000     4.336473    6.712428
      year14 |   4.126038   .3378718    12.21   0.000     3.432783    4.819294
      year15 |   4.553128   .6644752     6.85   0.000     3.189737    5.916518
      year16 |   .0539571   .1450079     0.37   0.713    -.2435746    .3514887
      year17 |   .1499134   .1913545     0.78   0.440    -.2427135    .5425404
      year18 |   .6877656   .1439726     4.78   0.000     .3923582    .9831729
      year19 |  -.4874843   .3834915    -1.27   0.215    -1.274344    .2993752
      year20 |          0  (omitted)
      year21 |   5.164582   .6689478     7.72   0.000     3.792014    6.537149
      year22 |   4.518854   .1913545    23.62   0.000     4.126227    4.911481
      year23 |   3.332877    .577971     5.77   0.000     2.146978    4.518775
      year24 |   5.591577   .3383147    16.53   0.000     4.897412    6.285741
      year25 |   2.718345   .3369814     8.07   0.000     2.026916    3.409774
      year26 |   1.360231   .1953938     6.96   0.000     .9593164    1.761146
      year27 |          0  (omitted)
      year28 |   1.630209   .1439726    11.32   0.000     1.334802    1.925616
      year29 |          0  (omitted)
      year30 |    1.61129   .1913545     8.42   0.000     1.218663    2.003917
      year31 |   2.085891   .3372881     6.18   0.000     1.393833    2.777949
      year32 |   2.668841   .3383147     7.89   0.000     1.974677    3.363006
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |    3.41475   .5871146     5.82   0.000      2.21009     4.61941
      year36 |          0  (omitted)
      year37 |  -.0833553   5.90e-11 -1.4e+09   0.000    -.0833553   -.0833553
      year38 |   3.557338   .2442296    14.57   0.000     3.056221    4.058456
      year39 |          0  (omitted)
      year40 |   3.833627    .578984     6.62   0.000      2.64565    5.021604
      year41 |          0  (omitted)
       _cons |   66.85382    2.49966    26.75   0.000     61.72494    71.98269
------------------------------------------------------------------------------

. 
. *----------------------------- Average RPS Effect ---------------------------
> -*
. foreach y_var in `wind_outcome'{
  2. 
.         tokenize "`y_var'", parse("_")
  3.         local y_name "`3'"
  4.         di "`y_name'"
  5.         areg `y_var' postRPS_dum `trend', absorb(state) robust cluster(sta
> te)
  6.         estimates store `y_name'_avgEffect
  7.         
. }
capacity
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      9,682
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0855
                                                Adj R-squared     =     0.0802
                                                Root MSE          =   213.3237

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_capaci~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |   38.42288   13.37631     2.87   0.008     10.97696     65.8688
       year1 |          0  (omitted)
       year2 |  -.7513984   .4574912    -1.64   0.112    -1.690093     .187296
       year3 |  -.0369977    .556237    -0.07   0.947    -1.178302    1.104306
       year4 |    6.53667   .5049731    12.94   0.000     5.500551    7.572789
       year5 |  -1.245417   .4470691    -2.79   0.010    -2.162727    -.328107
       year6 |          0  (omitted)
       year7 |   .3204685   .5633071     0.57   0.574    -.8353422    1.476279
       year8 |          0  (omitted)
       year9 |   2.757935   .3606676     7.65   0.000     2.017907    3.497964
      year10 |          0  (omitted)
      year11 |   23.25793    .203374   114.36   0.000     22.84064    23.67522
      year12 |          0  (omitted)
      year13 |   2.481085    .594602     4.17   0.000     1.261063    3.701108
      year14 |  -1.029302   .4828347    -2.13   0.042    -2.019997   -.0386069
      year15 |   -1.62098   .6095492    -2.66   0.013    -2.871672   -.3702885
      year16 |   .1691014   .3106697     0.54   0.591    -.4683401     .806543
      year17 |   8.879055    .362126    24.52   0.000     8.136034    9.622076
      year18 |   .3409726   .3091307     1.10   0.280    -.2933113    .9752565
      year19 |   28.06113   .9033351    31.06   0.000     26.20764    29.91462
      year20 |          0  (omitted)
      year21 |  -1.167906   .6353831    -1.84   0.077    -2.471605    .1357922
      year22 |   .0473752    .362126     0.13   0.897     -.695646    .7903964
      year23 |  -1.689597   .5952268    -2.84   0.009    -2.910901   -.4682923
      year24 |   6.936054   .4971662    13.95   0.000     5.915953    7.956155
      year25 |  -.0242929   .4815649    -0.05   0.960    -1.012382    .9637966
      year26 |  -1.079889   .3760112    -2.87   0.008      -1.8514   -.3083778
      year27 |          0  (omitted)
      year28 |  -.5177769   .3091307    -1.67   0.105    -1.152061    .1165069
      year29 |          0  (omitted)
      year30 |   12.62359   .3690353    34.21   0.000     11.86639    13.38079
      year31 |    .102294   .4822675     0.21   0.834    -.8872372    1.091825
      year32 |  -1.324924   .4828347    -2.74   0.011    -2.315618   -.3342286
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   8.893498   .6057551    14.68   0.000     7.650591     10.1364
      year36 |          0  (omitted)
      year37 |   1.643783   2.87e-11  5.7e+10   0.000     1.643783    1.643783
      year38 |   6.915433   .4212955    16.41   0.000     6.051006    7.779859
      year39 |          0  (omitted)
      year40 |   .2711816    .594602     0.46   0.652    -.9488409    1.491204
      year41 |          0  (omitted)
       _cons |   19.61447   6.620259     2.96   0.006     6.030824    33.19812
------------------------------------------------------------------------------
count
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      9,682
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0588
                                                Adj R-squared     =     0.0533
                                                Root MSE          =   368.2782

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_count_~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |   17.76693   10.66126     1.67   0.107    -4.108164    39.64203
       year1 |          0  (omitted)
       year2 |  -.3159385   .3646322    -0.87   0.394    -1.064102    .4322249
       year3 |   1.336826   .4433351     3.02   0.006     .4271778    2.246475
       year4 |   4.916557   .4024764    12.22   0.000     4.090744    5.742371
       year5 |  -.5744296   .3563255    -1.61   0.119    -1.305549      .15669
       year6 |          0  (omitted)
       year7 |   .9319407   .4489701     2.08   0.048       .01073    1.853151
       year8 |          0  (omitted)
       year9 |   1.908402   .2874612     6.64   0.000      1.31858    2.498223
      year10 |          0  (omitted)
      year11 |   16.51022   .1620943   101.86   0.000     16.17763    16.84281
      year12 |          0  (omitted)
      year13 |   1.433823   .4739129     3.03   0.005     .4614338    2.406212
      year14 |  -.4982716   .3848315    -1.29   0.206    -1.287881    .2913375
      year15 |  -.6959026   .4858262    -1.43   0.164    -1.692736    .3009305
      year16 |   .2200573   .2476117     0.89   0.382    -.2879998    .7281145
      year17 |   7.227107   .2886237    25.04   0.000       6.6349    7.819314
      year18 |   .2510684   .2463851     1.02   0.317     -.254472    .7566088
      year19 |   20.83522   .7199811    28.94   0.000     19.35794     22.3125
      year20 |          0  (omitted)
      year21 |  -.5539653   .5064165    -1.09   0.284    -1.593046    .4851155
      year22 |  -.0115714   .2886237    -0.04   0.968    -.6037782    .5806355
      year23 |  -.7771587   .4744109    -1.64   0.113     -1.75057    .1962522
      year24 |   5.837524   .3962542    14.73   0.000     5.024478    6.650571
      year25 |   .1981466   .3838195     0.52   0.610    -.5893859    .9856791
      year26 |  -.4975607   .2996905    -1.66   0.108    -1.112475    .1173534
      year27 |          0  (omitted)
      year28 |  -.2044757   .2463851    -0.83   0.414    -.7100161    .3010647
      year29 |          0  (omitted)
      year30 |   8.801246   .2941305    29.92   0.000      8.19774    9.404752
      year31 |   .1859642   .3843795     0.48   0.632    -.6027174    .9746457
      year32 |   -.568793   .3848315    -1.48   0.151    -1.358402    .2208161
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   6.314061   .4828022    13.08   0.000     5.323432    7.304689
      year36 |          0  (omitted)
      year37 |   1.130682          .        .       .            .           .
      year38 |   4.602259   .3357832    13.71   0.000     3.913289     5.29123
      year39 |          0  (omitted)
      year40 |   .5607446   .4739129     1.18   0.247    -.4116444    1.533134
      year41 |          0  (omitted)
       _cons |   55.14558   5.276515    10.45   0.000     44.31906    65.97209
------------------------------------------------------------------------------
lncapacity
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      9,682
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1927
                                                Adj R-squared     =     0.1880
                                                Root MSE          =     1.1969

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_lncapa~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |   .4091259   .1091617     3.75   0.001     .1851447    .6331071
       year1 |          0  (omitted)
       year2 |    .009343   .0037335     2.50   0.019     .0016824    .0170035
       year3 |   .0008816   .0045394     0.19   0.847    -.0084324    .0101956
       year4 |    .052709    .004121    12.79   0.000     .0442534    .0611645
       year5 |   .0076226   .0036485     2.09   0.046     .0001366    .0151086
       year6 |          0  (omitted)
       year7 |   .0528024    .004597    11.49   0.000     .0433701    .0622348
       year8 |          0  (omitted)
       year9 |   .0429344   .0029433    14.59   0.000     .0368951    .0489736
      year10 |          0  (omitted)
      year11 |   .1460212   .0016597    87.98   0.000     .1426158    .1494266
      year12 |          0  (omitted)
      year13 |   .0882457   .0048524    18.19   0.000     .0782893    .0982021
      year14 |  -.0027864   .0039403    -0.71   0.486    -.0108713    .0052985
      year15 |   .0079115   .0049744     1.59   0.123    -.0022952    .0181182
      year16 |   .0210319   .0025353     8.30   0.000     .0158298    .0262339
      year17 |   .0836385   .0029552    28.30   0.000     .0775749    .0897022
      year18 |   .0101585   .0025228     4.03   0.000     .0049822    .0153348
      year19 |   .3923245    .007372    53.22   0.000     .3771985    .4074505
      year20 |          0  (omitted)
      year21 |   .0023337   .0051852     0.45   0.656    -.0083056    .0129729
      year22 |   .0425153   .0029552    14.39   0.000     .0364516    .0485789
      year23 |  -.0122598   .0048575    -2.52   0.018    -.0222267    -.002293
      year24 |   .1772581   .0040573    43.69   0.000     .1689332     .185583
      year25 |   .0082727     .00393     2.11   0.045      .000209    .0163363
      year26 |  -.0113222   .0030686    -3.69   0.001    -.0176184    -.005026
      year27 |          0  (omitted)
      year28 |   .0026024   .0025228     1.03   0.311    -.0025738    .0077787
      year29 |          0  (omitted)
      year30 |     .05236   .0030116    17.39   0.000     .0461807    .0585394
      year31 |    .035265   .0039357     8.96   0.000     .0271896    .0433404
      year32 |   .0126471   .0039403     3.21   0.003     .0045622     .020732
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   .0332846   .0049435     6.73   0.000     .0231415    .0434278
      year36 |          0  (omitted)
      year37 |   .1276758   4.76e-12  2.7e+10   0.000     .1276758    .1276758
      year38 |   .0550799   .0034381    16.02   0.000     .0480254    .0621343
      year39 |          0  (omitted)
      year40 |   .0529665   .0048524    10.92   0.000     .0430102    .0629229
      year41 |          0  (omitted)
       _cons |   .3698591   .0540267     6.85   0.000     .2590053    .4807128
------------------------------------------------------------------------------
lncount
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      9,682
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1580
                                                Adj R-squared     =     0.1531
                                                Root MSE          =     1.3721

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
cum_lncoun~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |   .3655065    .106938     3.42   0.002     .1460879    .5849251
       year1 |          0  (omitted)
       year2 |   .0072703   .0036575     1.99   0.057    -.0002342    .0147748
       year3 |  -.0072771   .0044469    -1.64   0.113    -.0164014    .0018471
       year4 |   .0513661    .004037    12.72   0.000     .0430828    .0596495
       year5 |   .0012206   .0035741     0.34   0.735     -.006113    .0085541
       year6 |          0  (omitted)
       year7 |   .0507835   .0045034    11.28   0.000     .0415432    .0600237
       year8 |          0  (omitted)
       year9 |   .0421312   .0028834    14.61   0.000      .036215    .0480474
      year10 |          0  (omitted)
      year11 |   .1376527   .0016259    84.66   0.000     .1343166    .1409887
      year12 |          0  (omitted)
      year13 |   .0769157   .0047536    16.18   0.000     .0671621    .0866693
      year14 |  -.0034044   .0038601    -0.88   0.386    -.0113246    .0045158
      year15 |   .0145165   .0048731     2.98   0.006     .0045177    .0245152
      year16 |   .0195492   .0024837     7.87   0.000     .0144532    .0246453
      year17 |   .0835136    .002895    28.85   0.000     .0775735    .0894538
      year18 |   .0089768   .0024714     3.63   0.001      .003906    .0140476
      year19 |   .3754431   .0072218    51.99   0.000     .3606252     .390261
      year20 |          0  (omitted)
      year21 |   .0009002   .0050796     0.18   0.861    -.0095223    .0113227
      year22 |   .0341024    .002895    11.78   0.000     .0281622    .0400425
      year23 |  -.0113155   .0047586    -2.38   0.025    -.0210793   -.0015517
      year24 |   .1663342   .0039746    41.85   0.000     .1581789    .1744895
      year25 |   .0084116   .0038499     2.18   0.038     .0005122    .0163109
      year26 |   -.008977   .0030061    -2.99   0.006    -.0151449    -.002809
      year27 |          0  (omitted)
      year28 |   .0059801   .0024714     2.42   0.023     .0009092    .0110509
      year29 |          0  (omitted)
      year30 |   .0533283   .0029503    18.08   0.000     .0472748    .0593818
      year31 |   .0304765   .0038555     7.90   0.000     .0225656    .0383873
      year32 |   .0203738   .0038601     5.28   0.000     .0124536     .028294
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   .0322201   .0048428     6.65   0.000     .0222836    .0421566
      year36 |          0  (omitted)
      year37 |   .1381818          .        .       .            .           .
      year38 |   .0530765   .0033681    15.76   0.000     .0461658    .0599873
      year39 |          0  (omitted)
      year40 |   .0532113   .0047536    11.19   0.000     .0434578    .0629649
      year41 |          0  (omitted)
       _cons |   .4328306   .0529262     8.18   0.000      .324235    .5414262
------------------------------------------------------------------------------

. 
. foreach y_var in `environ_outcome'{
  2. 
.         areg `y_var' postRPS_dum `trend', absorb(state) robust cluster(state)
  3.         estimates store `y_var'_avgEffect
  4.         
. }
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      9,682
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1814
                                                Adj R-squared     =     0.1767
                                                Root MSE          =    32.1673

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
     pro_env |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |   4.640402    1.05002     4.42   0.000     2.485939    6.794864
       year1 |          0  (omitted)
       year2 |   .4163464   .0359124    11.59   0.000     .3426603    .4900325
       year3 |     .20446   .0436638     4.68   0.000     .1148694    .2940506
       year4 |   -.147144   .0396396    -3.71   0.001    -.2284778   -.0658103
       year5 |   .2818445   .0350942     8.03   0.000      .209837    .3538519
       year6 |          0  (omitted)
       year7 |   1.146619   .0442187    25.93   0.000      1.05589    1.237349
       year8 |          0  (omitted)
       year9 |   .1220067   .0283119     4.31   0.000     .0639156    .1800978
      year10 |          0  (omitted)
      year11 |  -.4222378   .0159646   -26.45   0.000    -.4549943   -.3894812
      year12 |          0  (omitted)
      year13 |   .7818251   .0466753    16.75   0.000     .6860552     .877595
      year14 |   .5969218   .0379018    15.75   0.000     .5191537    .6746898
      year15 |   .6577634   .0478487    13.75   0.000      .559586    .7559407
      year16 |  -.6195008   .0243871   -25.40   0.000     -.669539   -.5694626
      year17 |  -.5777373   .0284263   -20.32   0.000    -.6360633   -.5194112
      year18 |  -.4497474   .0242663   -18.53   0.000    -.4995377    -.399957
      year19 |  -2.821552   .0709104   -39.79   0.000    -2.967048   -2.676056
      year20 |          0  (omitted)
      year21 |   .1914334   .0498766     3.84   0.001     .0890951    .2937717
      year22 |   .1260438   .0284263     4.43   0.000     .0677178    .1843698
      year23 |  -.0994813   .0467244    -2.13   0.043    -.1953518   -.0036107
      year24 |   1.065942   .0390268    27.31   0.000     .9858661    1.146019
      year25 |   .3049096   .0378021     8.07   0.000     .2273461    .3824731
      year26 |  -.0039266   .0295163    -0.13   0.895    -.0644891    .0566358
      year27 |          0  (omitted)
      year28 |   -.337085   .0242663   -13.89   0.000    -.3868753   -.2872947
      year29 |          0  (omitted)
      year30 |   .7157422   .0289687    24.71   0.000     .6563033    .7751811
      year31 |  -.3968292   .0378573   -10.48   0.000    -.4745059   -.3191525
      year32 |   .3337631   .0379018     8.81   0.000     .2559951    .4115312
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |  -.4385158   .0475508    -9.22   0.000     -.536082   -.3409495
      year36 |          0  (omitted)
      year37 |   .4693883   4.05e-11  1.2e+10   0.000     .4693883    .4693883
      year38 |    .211979    .033071     6.41   0.000     .1441228    .2798352
      year39 |          0  (omitted)
      year40 |  -.6743179   .0466753   -14.45   0.000    -.7700878    -.578548
      year41 |          0  (omitted)
       _cons |   52.66054   .5196802   101.33   0.000     51.59424    53.72684
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      9,682
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1811
                                                Adj R-squared     =     0.1763
                                                Root MSE          =    32.1485

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
    anti_env |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |  -7.657676    1.13903    -6.72   0.000    -9.994773   -5.320579
       year1 |          0  (omitted)
       year2 |  -.3216148   .0389567    -8.26   0.000    -.4015473   -.2416824
       year3 |   .0296687   .0473651     0.63   0.536    -.0675166    .1268539
       year4 |   .2890577   .0429999     6.72   0.000     .2008292    .3772862
       year5 |   .0099459   .0380692     0.26   0.796    -.0681656    .0880575
       year6 |          0  (omitted)
       year7 |  -.6435693   .0479672   -13.42   0.000    -.7419898   -.5451487
       year8 |          0  (omitted)
       year9 |   .0960638   .0307119     3.13   0.004     .0330483    .1590793
      year10 |          0  (omitted)
      year11 |   .6174844   .0173179    35.66   0.000      .581951    .6530177
      year12 |          0  (omitted)
      year13 |  -.5794565    .050632   -11.44   0.000    -.6833448   -.4755681
      year14 |  -.3272545   .0411147    -7.96   0.000     -.411615   -.2428941
      year15 |   -.119042   .0519048    -2.29   0.030    -.2255419   -.0125421
      year16 |   .8870057   .0264544    33.53   0.000     .8327258    .9412857
      year17 |   .7265754    .030836    23.56   0.000     .6633051    .7898458
      year18 |    .544916   .0263234    20.70   0.000     .4909049    .5989271
      year19 |   3.079262   .0769215    40.03   0.000     2.921432    3.237092
      year20 |          0  (omitted)
      year21 |   .0263061   .0541047     0.49   0.631    -.0847074    .1373197
      year22 |   .1792634    .030836     5.81   0.000      .115993    .2425337
      year23 |   .2932509   .0506852     5.79   0.000     .1892534    .3972484
      year24 |  -.9133311   .0423351   -21.57   0.000    -1.000196   -.8264666
      year25 |   .0146252   .0410066     0.36   0.724    -.0695134    .0987638
      year26 |   .2875364   .0320184     8.98   0.000       .22184    .3532327
      year27 |          0  (omitted)
      year28 |   .4605251   .0263234    17.49   0.000      .406514    .5145362
      year29 |          0  (omitted)
      year30 |  -.4202525   .0314244   -13.37   0.000    -.4847301    -.355775
      year31 |    .707035   .0410664    17.22   0.000     .6227736    .7912964
      year32 |  -.1081691   .0411147    -2.63   0.014    -.1925295   -.0238086
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |   .7550826   .0515817    14.64   0.000     .6492456    .8609196
      year36 |          0  (omitted)
      year37 |  -.2480666          .        .       .            .           .
      year38 |   .1699174   .0358745     4.74   0.000      .096309    .2435258
      year39 |          0  (omitted)
      year40 |   .9573571    .050632    18.91   0.000     .8534687    1.061245
      year41 |          0  (omitted)
       _cons |   45.23857   .5637337    80.25   0.000     44.08188    46.39526
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      6,245
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1181
                                                Adj R-squared     =     0.1101
                                                Root MSE          =    44.0441

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
pro_env_cl~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |   11.14575   3.634967     3.07   0.005     3.687409    18.60408
       year1 |          0  (omitted)
       year2 |  -.1793866   .1521866    -1.18   0.249    -.4916478    .1328746
       year3 |  -.2498579   .1777638    -1.41   0.171     -.614599    .1148833
       year4 |  -.0852649   .1642795    -0.52   0.608    -.4223387    .2518088
       year5 |  -.1897968   .1520029    -1.25   0.223    -.5016811    .1220875
       year6 |          0  (omitted)
       year7 |   .9400837   .1740776     5.40   0.000     .5829059    1.297262
       year8 |          0  (omitted)
       year9 |   .1940792   .1269535     1.53   0.138    -.0664079    .4545662
      year10 |          0  (omitted)
      year11 |     .27967   .0375265     7.45   0.000     .2026721     .356668
      year12 |          0  (omitted)
      year13 |   .0554094   .1750856     0.32   0.754    -.3038366    .4146554
      year14 |  -.2604676   .1614779    -1.61   0.118     -.591793    .0708577
      year15 |  -.0498933   .1702422    -0.29   0.772    -.3992014    .2994149
      year16 |  -1.164436   .1101998   -10.57   0.000    -1.390547   -.9383246
      year17 |   -1.28364   .1267027   -10.13   0.000    -1.543612   -1.023667
      year18 |   -1.14476   .1085686   -10.54   0.000    -1.367524   -.9219956
      year19 |   -1.59948   .2370097    -6.75   0.000    -2.085784   -1.113177
      year20 |          0  (omitted)
      year21 |   .0069888   .1669826     0.04   0.967    -.3356311    .3496088
      year22 |   .4410866   .1267027     3.48   0.002     .1811141    .7010591
      year23 |  -.5219037   .1761524    -2.96   0.006    -.8833386   -.1604688
      year24 |   .8081781   .1614779     5.00   0.000     .4768527    1.139503
      year25 |  -.2757468   .1613407    -1.71   0.099    -.6067905    .0552969
      year26 |  -.3797826   .1313019    -2.89   0.007    -.6491918   -.1103734
      year27 |          0  (omitted)
      year28 |  -.2610699    .109741    -2.38   0.025    -.4862399   -.0358999
      year29 |          0  (omitted)
      year30 |   .8733791   .1267027     6.89   0.000     .6134066    1.133352
      year31 |   .0175637   .1614539     0.11   0.914    -.3137123    .3488396
      year32 |  -.3060142   .1614779    -1.90   0.069    -.6373395    .0253112
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |  -.9826736   .1769016    -5.55   0.000    -1.345646   -.6197016
      year36 |          0  (omitted)
      year37 |   .7875326   4.96e-11  1.6e+10   0.000     .7875326    .7875326
      year38 |  -.3827087   .1432421    -2.67   0.013    -.6766173   -.0888002
      year39 |          0  (omitted)
      year40 |   -1.44527   .1760931    -8.21   0.000    -1.806583   -1.083956
      year41 |          0  (omitted)
       _cons |   52.18586   1.944565    26.84   0.000     48.19594    56.17578
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      6,456
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1357
                                                Adj R-squared     =     0.1281
                                                Root MSE          =    44.8880

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
 pro_env_air |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |   .1692077   1.380203     0.12   0.903    -2.662735     3.00115
       year1 |          0  (omitted)
       year2 |  -.1677904   .0456329    -3.68   0.001    -.2614214   -.0741594
       year3 |  -.0904095   .0582704    -1.55   0.132    -.2099704    .0291514
       year4 |  -1.037303   .0521004   -19.91   0.000    -1.144204   -.9304019
       year5 |  -.5185239   .0453007   -11.45   0.000    -.6114732   -.4255746
       year6 |          0  (omitted)
       year7 |   1.584296   .0566541    27.96   0.000     1.468051    1.700541
       year8 |          0  (omitted)
       year9 |   .2017432   .0341977     5.90   0.000     .1315754     .271911
      year10 |          0  (omitted)
      year11 |  -.8349249   .0210481   -39.67   0.000     -.878112   -.7917377
      year12 |          0  (omitted)
      year13 |   .4230798   .0601515     7.03   0.000     .2996591    .5465004
      year14 |   .8583602   .0497905    17.24   0.000     .7561986    .9605218
      year15 |   .6458539    .060544    10.67   0.000     .5216279    .7700798
      year16 |   .0306299   .0341251     0.90   0.377    -.0393889    .1006488
      year17 |  -1.443393   .0344216   -41.93   0.000     -1.51402   -1.372765
      year18 |  -.2090535   .0334511    -6.25   0.000    -.2776895   -.1404175
      year19 |  -3.904259   .0919583   -42.46   0.000    -4.092942   -3.715577
      year20 |          0  (omitted)
      year21 |  -.8452767   .0637794   -13.25   0.000    -.9761412   -.7144123
      year22 |  -1.297668   .0344216   -37.70   0.000    -1.368295    -1.22704
      year23 |    -.90282   .0602308   -14.99   0.000    -1.026403   -.7792367
      year24 |   .1308572   .0519318     2.52   0.018     .0243019    .2374125
      year25 |   .2276547   .0497223     4.58   0.000     .1256331    .3296764
      year26 |  -.0389869   .0358971    -1.09   0.287    -.1126417    .0346679
      year27 |          0  (omitted)
      year28 |  -.0443926   .0340876    -1.30   0.204    -.1143345    .0255493
      year29 |          0  (omitted)
      year30 |   .3055533    .035437     8.62   0.000     .2328427     .378264
      year31 |   -.312073    .049887    -6.26   0.000    -.4144328   -.2097133
      year32 |   .3817514   .0497905     7.67   0.000     .2795898     .483913
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |  -.2524433   .0610614    -4.13   0.000    -.3777308   -.1271557
      year36 |          0  (omitted)
      year37 |   .3357244   2.06e-11  1.6e+10   0.000     .3357244    .3357244
      year38 |   .0824622   .0415278     1.99   0.057    -.0027457    .1676702
      year39 |          0  (omitted)
      year40 |  -1.279541   .0601515   -21.27   0.000    -1.402962   -1.156121
      year41 |          0  (omitted)
       _cons |   55.01698   .6981836    78.80   0.000     53.58442    56.44953
------------------------------------------------------------------------------
note: year1 omitted because of collinearity
note: year6 omitted because of collinearity
note: year8 omitted because of collinearity
note: year10 omitted because of collinearity
note: year12 omitted because of collinearity
note: year20 omitted because of collinearity
note: year27 omitted because of collinearity
note: year29 omitted because of collinearity
note: year33 omitted because of collinearity
note: year34 omitted because of collinearity
note: year36 omitted because of collinearity
note: year39 omitted because of collinearity
note: year41 omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =      3,270
Absorbed variable: state                        No. of categories =         28
                                                F(   1,     27)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1543
                                                Adj R-squared     =     0.1395
                                                Root MSE          =    43.4947

                                 (Std. Err. adjusted for 28 clusters in state)
------------------------------------------------------------------------------
             |               Robust
pro_env_cl~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 postRPS_dum |  -.8638863   3.404689    -0.25   0.802    -7.849731    6.121958
       year1 |          0  (omitted)
       year2 |   1.014029   .2073007     4.89   0.000     .5886833    1.439375
       year3 |   1.046527   .2036347     5.14   0.000     .6287028     1.46435
       year4 |   .8770678   .2012523     4.36   0.000     .4641322    1.290003
       year5 |   2.731467   .2007503    13.61   0.000     2.319562    3.143373
       year6 |          0  (omitted)
       year7 |   .0092596   .2007503     0.05   0.964     -.402646    .4211651
       year8 |          0  (omitted)
       year9 |   .7277612    .184373     3.95   0.001     .3494591    1.106063
      year10 |          0  (omitted)
      year11 |   .6994163   6.90e-11  1.0e+10   0.000     .6994163    .6994163
      year12 |          0  (omitted)
      year13 |   2.132578   .1832743    11.64   0.000      1.75653    2.508626
      year14 |   2.170356   .2002725    10.84   0.000     1.759431    2.581282
      year15 |   .6465657    .155731     4.15   0.000      .327032    .9660994
      year16 |  -.7606037   .1836111    -4.14   0.000    -1.137343   -.3838647
      year17 |  -.9398546   .1837224    -5.12   0.000    -1.316822   -.5628874
      year18 |  -.1206661   .1835351    -0.66   0.516     -.497249    .2559169
      year19 |  -2.701396   .2502785   -10.79   0.000    -3.214925   -2.187867
      year20 |          0  (omitted)
      year21 |   1.230292   .1511329     8.14   0.000     .9201925    1.540391
      year22 |   3.429086   .1837224    18.66   0.000     3.052119    3.806053
      year23 |   -.052845   .1838041    -0.29   0.776    -.4299799    .3242899
      year24 |   3.633386   .2007503    18.10   0.000      3.22148    4.045291
      year25 |   .7681365   .2010045     3.82   0.001     .3557093    1.180564
      year26 |   .2472559   .1867986     1.32   0.197    -.1360232    .6305349
      year27 |          0  (omitted)
      year28 |   .8217774   .1835351     4.48   0.000     .4451944     1.19836
      year29 |          0  (omitted)
      year30 |   .5215223   .1837224     2.84   0.009     .1445552    .8984895
      year31 |   .1338622   .2010057     0.67   0.511    -.2785674    .5462918
      year32 |   .7106503   .2007503     3.54   0.001     .2987448    1.122556
      year33 |          0  (omitted)
      year34 |          0  (omitted)
      year35 |  -.0254771   .1829967    -0.14   0.890    -.4009554    .3500012
      year36 |          0  (omitted)
      year37 |  -.0833553   3.85e-11 -2.2e+09   0.000    -.0833553   -.0833553
      year38 |    2.15848   .2030974    10.63   0.000     1.741759    2.575202
      year39 |          0  (omitted)
      year40 |    .441755   .1832743     2.41   0.023     .0657073    .8178027
      year41 |          0  (omitted)
       _cons |   52.48529   1.876152    27.97   0.000     48.63574    56.33484
------------------------------------------------------------------------------

. 
. *-------------------- Export LaTeX Tables: Results on RPS -------------------
> -*
. cd "$rootDir/$resultDir/Tables"
/Users/AliceZhang/Dropbox/Research_Columbia/Renewables Voting (Urpelainen Zhang
> )/JOP/UZ_JOP2021_Replication/Results/Tables

.         
. ** Effect of RPS on environmental voting outcomes
. * Trend Break
. esttab pro_env_trendBreak pro_env_clean_trendBreak anti_env_trendBreak ///
>                 using TableA25.tex, booktabs replace ///
>                 keep(RPS_event) ///
>                 b(%9.3f) se noconstant nonotes star(* 0.10 ** 0.05 *** 0.01) 
> ///
>                 stats(N N_clust r2, labels("Observations" "States" "\(R^{2}\)
> ") fmt(0 0 2)) ///
>                 varlabels(RPS_event "RPS $\times$ Event Time") varwidth(27) m
> odelwidth(13) ///
>                 mtitles("Pro-Environment Vote" "Pro Clean Energy Vote" "Anti-
> Environment Vote") ///
>                 mgroups("A. Linear Trend Break", pattern(1 0 0) prefix(\multi
> column{@span}{c}{) suffix(}) span erepeat(\cmidrule(lr){@span})) ///
>                 width(\hsize)
(output written to TableA25.tex)

.                 
. * Average Effect
. esttab pro_env_avgEffect pro_env_clean_avgEffect anti_env_avgEffect ///
>                 using TableA25.tex, booktabs append ///
>                 keep(postRPS_dum) ///
>                 se noconstant nonotes legend nonumbers collabels(none) star(*
>  0.10 ** 0.05 *** 0.01) ///
>                 b(%9.3f) stats(N N_clust r2, labels("Observations" "States" "
> \(R^{2}\)") fmt(0 0 2)) ///
>                 varlabels(postRPS_dum "RPS") varwidth(27) modelwidth(13) ///
>                 mtitles("Pro-Environment Vote" "Pro Clean Energy Vote" "Anti-
> Environment Vote") ///
>                 mgroups("B. Average Effect", pattern(1 0 0) prefix(\multicolu
> mn{@span}{c}{) suffix(}) span erepeat(\cmidrule(lr){@span})) ///
>                 width(\hsize)
(output written to TableA25.tex)

. 
.                 
. ** Close log file
. log close
      name:  <unnamed>
       log:  /Users/AliceZhang/Dropbox/Research_Columbia/Renewables Voting (Urp
> elainen Zhang)/JOP/UZ_JOP2021_Replication/Analysis/logSTATA/014_analysis_RPS.
> smcl
  log type:  smcl
 closed on:   6 Nov 2021, 20:34:41
-------------------------------------------------------------------------------
